| backend | | default: "tensorflow" |
| class_name | | default: "Functional" |
| config | | default: {"input_layers": [["input_1", 0, 0]], "name": "model", "output_layers": [["dense", 0, 0]], "trainable": true} |
| layer000_input_1 | | default: {"class_name": "InputLayer", "config": {"batch_input_shape": [null, 128, 128, 3], "dtype": "float32", "name": "input_1", "ragged": false, "sparse": false}, "inbound_nodes": [], "module": "keras.layers", "name": "input_1", "registered_name": null} |
| layer001_tf.math.truediv | | default: {"build_config": {"input_shape": [null, 128, 128, 3]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.truediv", "name": "tf.math.truediv", "trainable": false}, "inbound_nodes": [["input_1", 0, 0, {"name": null, "y": 255.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.truediv", "registered_name": "TFOpLambda"} |
| layer002_tf.nn.bias_add | | default: {"build_config": {"input_shape": [null, 128, 128, 3]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "nn.bias_add", "name": "tf.nn.bias_add", "trainable": false}, "inbound_nodes": [["tf.math.truediv", 0, 0, {"bias": [-0.48500001430511475, -0.4560000002384186, -0.4059999883174896], "data_format": "NHWC"}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.nn.bias_add", "registered_name": "TFOpLambda"} |
| layer003_tf.math.truediv_1 | | default: {"build_config": {"input_shape": [null, 128, 128, 3]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.truediv", "name": "tf.math.truediv_1", "trainable": false}, "inbound_nodes": [["tf.nn.bias_add", 0, 0, {"name": null, "y": [0.2290000021457672, 0.2240000069141388, 0.22499999403953552]}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.truediv_1", "registered_name": "TFOpLambda"} |
| layer004_zero_padding2d | | default: {"build_config": {"input_shape": [null, 128, 128, 3]}, "class_name": "ZeroPadding2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "zero_padding2d", "padding": [[3, 3], [3, 3]], "trainable": false}, "inbound_nodes": [[["tf.math.truediv_1", 0, 0, {}]]], "module": "keras.layers", "name": "zero_padding2d", "registered_name": null} |
| layer005_conv1_conv | | default: {"build_config": {"input_shape": [null, 134, 134, 3]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["zero_padding2d", 0, 0, {}]]], "module": "keras.layers", "name": "conv1_conv", "registered_name": null} |
| layer006_conv1_bn | | default: {"build_config": {"input_shape": [null, 64, 64, 64]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv1_bn", "registered_name": null} |
| layer007_conv1_relu | | default: {"build_config": {"input_shape": [null, 64, 64, 64]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv1_relu", "trainable": false}, "inbound_nodes": [[["conv1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv1_relu", "registered_name": null} |
| layer008_zero_padding2d_1 | | default: {"build_config": {"input_shape": [null, 64, 64, 64]}, "class_name": "ZeroPadding2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "zero_padding2d_1", "padding": [[1, 1], [1, 1]], "trainable": false}, "inbound_nodes": [[["conv1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "zero_padding2d_1", "registered_name": null} |
| layer009_pool1 | | default: {"build_config": {"input_shape": [null, 66, 66, 64]}, "class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "pool1", "padding": "valid", "pool_size": [3, 3], "strides": [2, 2], "trainable": false}, "inbound_nodes": [[["zero_padding2d_1", 0, 0, {}]]], "module": "keras.layers", "name": "pool1", "registered_name": null} |
| layer010_conv2_block1_0_bn | | default: {"build_config": {"input_shape": [null, 32, 32, 64]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["pool1", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block1_0_bn", "registered_name": null} |
| layer011_conv2_block1_0_relu | | default: {"build_config": {"input_shape": [null, 32, 32, 64]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv2_block1_0_relu", "trainable": false}, "inbound_nodes": [[["conv2_block1_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block1_0_relu", "registered_name": null} |
| layer012_conv2_block1_1_conv | | default: {"build_config": {"input_shape": [null, 32, 32, 64]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv2_block1_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block1_1_conv", "registered_name": null} |
| layer013_conv2_block1_1_bn | | default: {"build_config": {"input_shape": [null, 32, 32, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv2_block1_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block1_1_bn", "registered_name": null} |
| layer014_conv2_block1_1_relu | | default: {"build_config": {"input_shape": [null, 32, 32, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv2_block1_1_relu", "trainable": false}, "inbound_nodes": [[["conv2_block1_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block1_1_relu", "registered_name": null} |
| layer015_conv2_block1_2_conv | | default: {"build_config": {"input_shape": [null, 32, 32, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv2_block1_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block1_2_conv", "registered_name": null} |
| layer016_conv2_block1_concat | | default: {"build_config": {"input_shape": [[null, 32, 32, 64], [null, 32, 32, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv2_block1_concat", "trainable": false}, "inbound_nodes": [[["pool1", 0, 0, {}], ["conv2_block1_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block1_concat", "registered_name": null} |
| layer017_conv2_block2_0_bn | | default: {"build_config": {"input_shape": [null, 32, 32, 96]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv2_block1_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block2_0_bn", "registered_name": null} |
| layer018_conv2_block2_0_relu | | default: {"build_config": {"input_shape": [null, 32, 32, 96]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv2_block2_0_relu", "trainable": false}, "inbound_nodes": [[["conv2_block2_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block2_0_relu", "registered_name": null} |
| layer019_conv2_block2_1_conv | | default: {"build_config": {"input_shape": [null, 32, 32, 96]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv2_block2_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block2_1_conv", "registered_name": null} |
| layer020_conv2_block2_1_bn | | default: {"build_config": {"input_shape": [null, 32, 32, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv2_block2_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block2_1_bn", "registered_name": null} |
| layer021_conv2_block2_1_relu | | default: {"build_config": {"input_shape": [null, 32, 32, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv2_block2_1_relu", "trainable": false}, "inbound_nodes": [[["conv2_block2_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block2_1_relu", "registered_name": null} |
| layer022_conv2_block2_2_conv | | default: {"build_config": {"input_shape": [null, 32, 32, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv2_block2_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block2_2_conv", "registered_name": null} |
| layer023_conv2_block2_concat | | default: {"build_config": {"input_shape": [[null, 32, 32, 96], [null, 32, 32, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv2_block2_concat", "trainable": false}, "inbound_nodes": [[["conv2_block1_concat", 0, 0, {}], ["conv2_block2_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block2_concat", "registered_name": null} |
| layer024_conv2_block3_0_bn | | default: {"build_config": {"input_shape": [null, 32, 32, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv2_block2_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block3_0_bn", "registered_name": null} |
| layer025_conv2_block3_0_relu | | default: {"build_config": {"input_shape": [null, 32, 32, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv2_block3_0_relu", "trainable": false}, "inbound_nodes": [[["conv2_block3_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block3_0_relu", "registered_name": null} |
| layer026_conv2_block3_1_conv | | default: {"build_config": {"input_shape": [null, 32, 32, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv2_block3_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block3_1_conv", "registered_name": null} |
| layer027_conv2_block3_1_bn | | default: {"build_config": {"input_shape": [null, 32, 32, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv2_block3_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block3_1_bn", "registered_name": null} |
| layer028_conv2_block3_1_relu | | default: {"build_config": {"input_shape": [null, 32, 32, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv2_block3_1_relu", "trainable": false}, "inbound_nodes": [[["conv2_block3_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block3_1_relu", "registered_name": null} |
| layer029_conv2_block3_2_conv | | default: {"build_config": {"input_shape": [null, 32, 32, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv2_block3_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block3_2_conv", "registered_name": null} |
| layer030_conv2_block3_concat | | default: {"build_config": {"input_shape": [[null, 32, 32, 128], [null, 32, 32, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv2_block3_concat", "trainable": false}, "inbound_nodes": [[["conv2_block2_concat", 0, 0, {}], ["conv2_block3_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block3_concat", "registered_name": null} |
| layer031_conv2_block4_0_bn | | default: {"build_config": {"input_shape": [null, 32, 32, 160]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv2_block3_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block4_0_bn", "registered_name": null} |
| layer032_conv2_block4_0_relu | | default: {"build_config": {"input_shape": [null, 32, 32, 160]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv2_block4_0_relu", "trainable": false}, "inbound_nodes": [[["conv2_block4_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block4_0_relu", "registered_name": null} |
| layer033_conv2_block4_1_conv | | default: {"build_config": {"input_shape": [null, 32, 32, 160]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv2_block4_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block4_1_conv", "registered_name": null} |
| layer034_conv2_block4_1_bn | | default: {"build_config": {"input_shape": [null, 32, 32, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv2_block4_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block4_1_bn", "registered_name": null} |
| layer035_conv2_block4_1_relu | | default: {"build_config": {"input_shape": [null, 32, 32, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv2_block4_1_relu", "trainable": false}, "inbound_nodes": [[["conv2_block4_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block4_1_relu", "registered_name": null} |
| layer036_conv2_block4_2_conv | | default: {"build_config": {"input_shape": [null, 32, 32, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv2_block4_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block4_2_conv", "registered_name": null} |
| layer037_conv2_block4_concat | | default: {"build_config": {"input_shape": [[null, 32, 32, 160], [null, 32, 32, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv2_block4_concat", "trainable": false}, "inbound_nodes": [[["conv2_block3_concat", 0, 0, {}], ["conv2_block4_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block4_concat", "registered_name": null} |
| layer038_conv2_block5_0_bn | | default: {"build_config": {"input_shape": [null, 32, 32, 192]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv2_block4_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block5_0_bn", "registered_name": null} |
| layer039_conv2_block5_0_relu | | default: {"build_config": {"input_shape": [null, 32, 32, 192]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv2_block5_0_relu", "trainable": false}, "inbound_nodes": [[["conv2_block5_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block5_0_relu", "registered_name": null} |
| layer040_conv2_block5_1_conv | | default: {"build_config": {"input_shape": [null, 32, 32, 192]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv2_block5_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block5_1_conv", "registered_name": null} |
| layer041_conv2_block5_1_bn | | default: {"build_config": {"input_shape": [null, 32, 32, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv2_block5_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block5_1_bn", "registered_name": null} |
| layer042_conv2_block5_1_relu | | default: {"build_config": {"input_shape": [null, 32, 32, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv2_block5_1_relu", "trainable": false}, "inbound_nodes": [[["conv2_block5_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block5_1_relu", "registered_name": null} |
| layer043_conv2_block5_2_conv | | default: {"build_config": {"input_shape": [null, 32, 32, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv2_block5_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block5_2_conv", "registered_name": null} |
| layer044_conv2_block5_concat | | default: {"build_config": {"input_shape": [[null, 32, 32, 192], [null, 32, 32, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv2_block5_concat", "trainable": false}, "inbound_nodes": [[["conv2_block4_concat", 0, 0, {}], ["conv2_block5_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block5_concat", "registered_name": null} |
| layer045_conv2_block6_0_bn | | default: {"build_config": {"input_shape": [null, 32, 32, 224]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv2_block5_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block6_0_bn", "registered_name": null} |
| layer046_conv2_block6_0_relu | | default: {"build_config": {"input_shape": [null, 32, 32, 224]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv2_block6_0_relu", "trainable": false}, "inbound_nodes": [[["conv2_block6_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block6_0_relu", "registered_name": null} |
| layer047_conv2_block6_1_conv | | default: {"build_config": {"input_shape": [null, 32, 32, 224]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv2_block6_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block6_1_conv", "registered_name": null} |
| layer048_conv2_block6_1_bn | | default: {"build_config": {"input_shape": [null, 32, 32, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv2_block6_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block6_1_bn", "registered_name": null} |
| layer049_conv2_block6_1_relu | | default: {"build_config": {"input_shape": [null, 32, 32, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv2_block6_1_relu", "trainable": false}, "inbound_nodes": [[["conv2_block6_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block6_1_relu", "registered_name": null} |
| layer050_conv2_block6_2_conv | | default: {"build_config": {"input_shape": [null, 32, 32, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv2_block6_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block6_2_conv", "registered_name": null} |
| layer051_conv2_block6_concat | | default: {"build_config": {"input_shape": [[null, 32, 32, 224], [null, 32, 32, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv2_block6_concat", "trainable": false}, "inbound_nodes": [[["conv2_block5_concat", 0, 0, {}], ["conv2_block6_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block6_concat", "registered_name": null} |
| layer052_pool2_bn | | default: {"build_config": {"input_shape": [null, 32, 32, 256]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv2_block6_concat", 0, 0, {}]]], "module": "keras.layers", "name": "pool2_bn", "registered_name": null} |
| layer053_pool2_relu | | default: {"build_config": {"input_shape": [null, 32, 32, 256]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "pool2_relu", "trainable": false}, "inbound_nodes": [[["pool2_bn", 0, 0, {}]]], "module": "keras.layers", "name": "pool2_relu", "registered_name": null} |
| layer054_pool2_conv | | default: {"build_config": {"input_shape": [null, 32, 32, 256]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["pool2_relu", 0, 0, {}]]], "module": "keras.layers", "name": "pool2_conv", "registered_name": null} |
| layer055_pool2_pool | | default: {"build_config": {"input_shape": [null, 32, 32, 128]}, "class_name": "AveragePooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "pool2_pool", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": false}, "inbound_nodes": [[["pool2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "pool2_pool", "registered_name": null} |
| layer056_conv3_block1_0_bn | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["pool2_pool", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block1_0_bn", "registered_name": null} |
| layer057_conv3_block1_0_relu | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv3_block1_0_relu", "trainable": false}, "inbound_nodes": [[["conv3_block1_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block1_0_relu", "registered_name": null} |
| layer058_conv3_block1_1_conv | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv3_block1_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block1_1_conv", "registered_name": null} |
| layer059_conv3_block1_1_bn | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv3_block1_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block1_1_bn", "registered_name": null} |
| layer060_conv3_block1_1_relu | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv3_block1_1_relu", "trainable": false}, "inbound_nodes": [[["conv3_block1_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block1_1_relu", "registered_name": null} |
| layer061_conv3_block1_2_conv | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv3_block1_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block1_2_conv", "registered_name": null} |
| layer062_conv3_block1_concat | | default: {"build_config": {"input_shape": [[null, 16, 16, 128], [null, 16, 16, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv3_block1_concat", "trainable": false}, "inbound_nodes": [[["pool2_pool", 0, 0, {}], ["conv3_block1_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block1_concat", "registered_name": null} |
| layer063_conv3_block2_0_bn | | default: {"build_config": {"input_shape": [null, 16, 16, 160]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv3_block1_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block2_0_bn", "registered_name": null} |
| layer064_conv3_block2_0_relu | | default: {"build_config": {"input_shape": [null, 16, 16, 160]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv3_block2_0_relu", "trainable": false}, "inbound_nodes": [[["conv3_block2_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block2_0_relu", "registered_name": null} |
| layer065_conv3_block2_1_conv | | default: {"build_config": {"input_shape": [null, 16, 16, 160]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv3_block2_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block2_1_conv", "registered_name": null} |
| layer066_conv3_block2_1_bn | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv3_block2_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block2_1_bn", "registered_name": null} |
| layer067_conv3_block2_1_relu | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv3_block2_1_relu", "trainable": false}, "inbound_nodes": [[["conv3_block2_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block2_1_relu", "registered_name": null} |
| layer068_conv3_block2_2_conv | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv3_block2_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block2_2_conv", "registered_name": null} |
| layer069_conv3_block2_concat | | default: {"build_config": {"input_shape": [[null, 16, 16, 160], [null, 16, 16, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv3_block2_concat", "trainable": false}, "inbound_nodes": [[["conv3_block1_concat", 0, 0, {}], ["conv3_block2_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block2_concat", "registered_name": null} |
| layer070_conv3_block3_0_bn | | default: {"build_config": {"input_shape": [null, 16, 16, 192]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv3_block2_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block3_0_bn", "registered_name": null} |
| layer071_conv3_block3_0_relu | | default: {"build_config": {"input_shape": [null, 16, 16, 192]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv3_block3_0_relu", "trainable": false}, "inbound_nodes": [[["conv3_block3_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block3_0_relu", "registered_name": null} |
| layer072_conv3_block3_1_conv | | default: {"build_config": {"input_shape": [null, 16, 16, 192]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv3_block3_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block3_1_conv", "registered_name": null} |
| layer073_conv3_block3_1_bn | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv3_block3_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block3_1_bn", "registered_name": null} |
| layer074_conv3_block3_1_relu | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv3_block3_1_relu", "trainable": false}, "inbound_nodes": [[["conv3_block3_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block3_1_relu", "registered_name": null} |
| layer075_conv3_block3_2_conv | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv3_block3_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block3_2_conv", "registered_name": null} |
| layer076_conv3_block3_concat | | default: {"build_config": {"input_shape": [[null, 16, 16, 192], [null, 16, 16, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv3_block3_concat", "trainable": false}, "inbound_nodes": [[["conv3_block2_concat", 0, 0, {}], ["conv3_block3_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block3_concat", "registered_name": null} |
| layer077_conv3_block4_0_bn | | default: {"build_config": {"input_shape": [null, 16, 16, 224]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv3_block3_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block4_0_bn", "registered_name": null} |
| layer078_conv3_block4_0_relu | | default: {"build_config": {"input_shape": [null, 16, 16, 224]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv3_block4_0_relu", "trainable": false}, "inbound_nodes": [[["conv3_block4_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block4_0_relu", "registered_name": null} |
| layer079_conv3_block4_1_conv | | default: {"build_config": {"input_shape": [null, 16, 16, 224]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv3_block4_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block4_1_conv", "registered_name": null} |
| layer080_conv3_block4_1_bn | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv3_block4_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block4_1_bn", "registered_name": null} |
| layer081_conv3_block4_1_relu | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv3_block4_1_relu", "trainable": false}, "inbound_nodes": [[["conv3_block4_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block4_1_relu", "registered_name": null} |
| layer082_conv3_block4_2_conv | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv3_block4_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block4_2_conv", "registered_name": null} |
| layer083_conv3_block4_concat | | default: {"build_config": {"input_shape": [[null, 16, 16, 224], [null, 16, 16, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv3_block4_concat", "trainable": false}, "inbound_nodes": [[["conv3_block3_concat", 0, 0, {}], ["conv3_block4_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block4_concat", "registered_name": null} |
| layer084_conv3_block5_0_bn | | default: {"build_config": {"input_shape": [null, 16, 16, 256]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv3_block4_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block5_0_bn", "registered_name": null} |
| layer085_conv3_block5_0_relu | | default: {"build_config": {"input_shape": [null, 16, 16, 256]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv3_block5_0_relu", "trainable": false}, "inbound_nodes": [[["conv3_block5_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block5_0_relu", "registered_name": null} |
| layer086_conv3_block5_1_conv | | default: {"build_config": {"input_shape": [null, 16, 16, 256]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv3_block5_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block5_1_conv", "registered_name": null} |
| layer087_conv3_block5_1_bn | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv3_block5_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block5_1_bn", "registered_name": null} |
| layer088_conv3_block5_1_relu | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv3_block5_1_relu", "trainable": false}, "inbound_nodes": [[["conv3_block5_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block5_1_relu", "registered_name": null} |
| layer089_conv3_block5_2_conv | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv3_block5_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block5_2_conv", "registered_name": null} |
| layer090_conv3_block5_concat | | default: {"build_config": {"input_shape": [[null, 16, 16, 256], [null, 16, 16, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv3_block5_concat", "trainable": false}, "inbound_nodes": [[["conv3_block4_concat", 0, 0, {}], ["conv3_block5_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block5_concat", "registered_name": null} |
| layer091_conv3_block6_0_bn | | default: {"build_config": {"input_shape": [null, 16, 16, 288]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv3_block5_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block6_0_bn", "registered_name": null} |
| layer092_conv3_block6_0_relu | | default: {"build_config": {"input_shape": [null, 16, 16, 288]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv3_block6_0_relu", "trainable": false}, "inbound_nodes": [[["conv3_block6_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block6_0_relu", "registered_name": null} |
| layer093_conv3_block6_1_conv | | default: {"build_config": {"input_shape": [null, 16, 16, 288]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv3_block6_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block6_1_conv", "registered_name": null} |
| layer094_conv3_block6_1_bn | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv3_block6_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block6_1_bn", "registered_name": null} |
| layer095_conv3_block6_1_relu | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv3_block6_1_relu", "trainable": false}, "inbound_nodes": [[["conv3_block6_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block6_1_relu", "registered_name": null} |
| layer096_conv3_block6_2_conv | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv3_block6_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block6_2_conv", "registered_name": null} |
| layer097_conv3_block6_concat | | default: {"build_config": {"input_shape": [[null, 16, 16, 288], [null, 16, 16, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv3_block6_concat", "trainable": false}, "inbound_nodes": [[["conv3_block5_concat", 0, 0, {}], ["conv3_block6_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block6_concat", "registered_name": null} |
| layer098_conv3_block7_0_bn | | default: {"build_config": {"input_shape": [null, 16, 16, 320]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv3_block6_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block7_0_bn", "registered_name": null} |
| layer099_conv3_block7_0_relu | | default: {"build_config": {"input_shape": [null, 16, 16, 320]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv3_block7_0_relu", "trainable": false}, "inbound_nodes": [[["conv3_block7_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block7_0_relu", "registered_name": null} |
| layer100_conv3_block7_1_conv | | default: {"build_config": {"input_shape": [null, 16, 16, 320]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv3_block7_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block7_1_conv", "registered_name": null} |
| layer101_conv3_block7_1_bn | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv3_block7_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block7_1_bn", "registered_name": null} |
| layer102_conv3_block7_1_relu | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv3_block7_1_relu", "trainable": false}, "inbound_nodes": [[["conv3_block7_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block7_1_relu", "registered_name": null} |
| layer103_conv3_block7_2_conv | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv3_block7_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block7_2_conv", "registered_name": null} |
| layer104_conv3_block7_concat | | default: {"build_config": {"input_shape": [[null, 16, 16, 320], [null, 16, 16, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv3_block7_concat", "trainable": false}, "inbound_nodes": [[["conv3_block6_concat", 0, 0, {}], ["conv3_block7_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block7_concat", "registered_name": null} |
| layer105_conv3_block8_0_bn | | default: {"build_config": {"input_shape": [null, 16, 16, 352]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv3_block7_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block8_0_bn", "registered_name": null} |
| layer106_conv3_block8_0_relu | | default: {"build_config": {"input_shape": [null, 16, 16, 352]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv3_block8_0_relu", "trainable": false}, "inbound_nodes": [[["conv3_block8_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block8_0_relu", "registered_name": null} |
| layer107_conv3_block8_1_conv | | default: {"build_config": {"input_shape": [null, 16, 16, 352]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv3_block8_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block8_1_conv", "registered_name": null} |
| layer108_conv3_block8_1_bn | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv3_block8_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block8_1_bn", "registered_name": null} |
| layer109_conv3_block8_1_relu | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv3_block8_1_relu", "trainable": false}, "inbound_nodes": [[["conv3_block8_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block8_1_relu", "registered_name": null} |
| layer110_conv3_block8_2_conv | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv3_block8_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block8_2_conv", "registered_name": null} |
| layer111_conv3_block8_concat | | default: {"build_config": {"input_shape": [[null, 16, 16, 352], [null, 16, 16, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv3_block8_concat", "trainable": false}, "inbound_nodes": [[["conv3_block7_concat", 0, 0, {}], ["conv3_block8_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block8_concat", "registered_name": null} |
| layer112_conv3_block9_0_bn | | default: {"build_config": {"input_shape": [null, 16, 16, 384]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv3_block8_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block9_0_bn", "registered_name": null} |
| layer113_conv3_block9_0_relu | | default: {"build_config": {"input_shape": [null, 16, 16, 384]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv3_block9_0_relu", "trainable": false}, "inbound_nodes": [[["conv3_block9_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block9_0_relu", "registered_name": null} |
| layer114_conv3_block9_1_conv | | default: {"build_config": {"input_shape": [null, 16, 16, 384]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv3_block9_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block9_1_conv", "registered_name": null} |
| layer115_conv3_block9_1_bn | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv3_block9_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block9_1_bn", "registered_name": null} |
| layer116_conv3_block9_1_relu | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv3_block9_1_relu", "trainable": false}, "inbound_nodes": [[["conv3_block9_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block9_1_relu", "registered_name": null} |
| layer117_conv3_block9_2_conv | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv3_block9_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block9_2_conv", "registered_name": null} |
| layer118_conv3_block9_concat | | default: {"build_config": {"input_shape": [[null, 16, 16, 384], [null, 16, 16, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv3_block9_concat", "trainable": false}, "inbound_nodes": [[["conv3_block8_concat", 0, 0, {}], ["conv3_block9_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block9_concat", "registered_name": null} |
| layer119_conv3_block10_0_bn | | default: {"build_config": {"input_shape": [null, 16, 16, 416]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv3_block9_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block10_0_bn", "registered_name": null} |
| layer120_conv3_block10_0_relu | | default: {"build_config": {"input_shape": [null, 16, 16, 416]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv3_block10_0_relu", "trainable": false}, "inbound_nodes": [[["conv3_block10_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block10_0_relu", "registered_name": null} |
| layer121_conv3_block10_1_conv | | default: {"build_config": {"input_shape": [null, 16, 16, 416]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv3_block10_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block10_1_conv", "registered_name": null} |
| layer122_conv3_block10_1_bn | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv3_block10_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block10_1_bn", "registered_name": null} |
| layer123_conv3_block10_1_relu | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv3_block10_1_relu", "trainable": false}, "inbound_nodes": [[["conv3_block10_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block10_1_relu", "registered_name": null} |
| layer124_conv3_block10_2_conv | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv3_block10_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block10_2_conv", "registered_name": null} |
| layer125_conv3_block10_concat | | default: {"build_config": {"input_shape": [[null, 16, 16, 416], [null, 16, 16, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv3_block10_concat", "trainable": false}, "inbound_nodes": [[["conv3_block9_concat", 0, 0, {}], ["conv3_block10_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block10_concat", "registered_name": null} |
| layer126_conv3_block11_0_bn | | default: {"build_config": {"input_shape": [null, 16, 16, 448]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv3_block10_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block11_0_bn", "registered_name": null} |
| layer127_conv3_block11_0_relu | | default: {"build_config": {"input_shape": [null, 16, 16, 448]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv3_block11_0_relu", "trainable": false}, "inbound_nodes": [[["conv3_block11_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block11_0_relu", "registered_name": null} |
| layer128_conv3_block11_1_conv | | default: {"build_config": {"input_shape": [null, 16, 16, 448]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv3_block11_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block11_1_conv", "registered_name": null} |
| layer129_conv3_block11_1_bn | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv3_block11_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block11_1_bn", "registered_name": null} |
| layer130_conv3_block11_1_relu | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv3_block11_1_relu", "trainable": false}, "inbound_nodes": [[["conv3_block11_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block11_1_relu", "registered_name": null} |
| layer131_conv3_block11_2_conv | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv3_block11_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block11_2_conv", "registered_name": null} |
| layer132_conv3_block11_concat | | default: {"build_config": {"input_shape": [[null, 16, 16, 448], [null, 16, 16, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv3_block11_concat", "trainable": false}, "inbound_nodes": [[["conv3_block10_concat", 0, 0, {}], ["conv3_block11_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block11_concat", "registered_name": null} |
| layer133_conv3_block12_0_bn | | default: {"build_config": {"input_shape": [null, 16, 16, 480]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv3_block11_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block12_0_bn", "registered_name": null} |
| layer134_conv3_block12_0_relu | | default: {"build_config": {"input_shape": [null, 16, 16, 480]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv3_block12_0_relu", "trainable": false}, "inbound_nodes": [[["conv3_block12_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block12_0_relu", "registered_name": null} |
| layer135_conv3_block12_1_conv | | default: {"build_config": {"input_shape": [null, 16, 16, 480]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv3_block12_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block12_1_conv", "registered_name": null} |
| layer136_conv3_block12_1_bn | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv3_block12_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block12_1_bn", "registered_name": null} |
| layer137_conv3_block12_1_relu | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv3_block12_1_relu", "trainable": false}, "inbound_nodes": [[["conv3_block12_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block12_1_relu", "registered_name": null} |
| layer138_conv3_block12_2_conv | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv3_block12_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block12_2_conv", "registered_name": null} |
| layer139_conv3_block12_concat | | default: {"build_config": {"input_shape": [[null, 16, 16, 480], [null, 16, 16, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv3_block12_concat", "trainable": false}, "inbound_nodes": [[["conv3_block11_concat", 0, 0, {}], ["conv3_block12_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block12_concat", "registered_name": null} |
| layer140_pool3_bn | | default: {"build_config": {"input_shape": [null, 16, 16, 512]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv3_block12_concat", 0, 0, {}]]], "module": "keras.layers", "name": "pool3_bn", "registered_name": null} |
| layer141_pool3_relu | | default: {"build_config": {"input_shape": [null, 16, 16, 512]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "pool3_relu", "trainable": false}, "inbound_nodes": [[["pool3_bn", 0, 0, {}]]], "module": "keras.layers", "name": "pool3_relu", "registered_name": null} |
| layer142_pool3_conv | | default: {"build_config": {"input_shape": [null, 16, 16, 512]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["pool3_relu", 0, 0, {}]]], "module": "keras.layers", "name": "pool3_conv", "registered_name": null} |
| layer143_pool3_pool | | default: {"build_config": {"input_shape": [null, 16, 16, 256]}, "class_name": "AveragePooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "pool3_pool", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": false}, "inbound_nodes": [[["pool3_conv", 0, 0, {}]]], "module": "keras.layers", "name": "pool3_pool", "registered_name": null} |
| layer144_conv4_block1_0_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 256]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["pool3_pool", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block1_0_bn", "registered_name": null} |
| layer145_conv4_block1_0_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 256]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block1_0_relu", "trainable": false}, "inbound_nodes": [[["conv4_block1_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block1_0_relu", "registered_name": null} |
| layer146_conv4_block1_1_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 256]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block1_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block1_1_conv", "registered_name": null} |
| layer147_conv4_block1_1_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block1_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block1_1_bn", "registered_name": null} |
| layer148_conv4_block1_1_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block1_1_relu", "trainable": false}, "inbound_nodes": [[["conv4_block1_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block1_1_relu", "registered_name": null} |
| layer149_conv4_block1_2_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block1_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block1_2_conv", "registered_name": null} |
| layer150_conv4_block1_concat | | default: {"build_config": {"input_shape": [[null, 8, 8, 256], [null, 8, 8, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv4_block1_concat", "trainable": false}, "inbound_nodes": [[["pool3_pool", 0, 0, {}], ["conv4_block1_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block1_concat", "registered_name": null} |
| layer151_conv4_block2_0_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 288]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block1_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block2_0_bn", "registered_name": null} |
| layer152_conv4_block2_0_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 288]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block2_0_relu", "trainable": false}, "inbound_nodes": [[["conv4_block2_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block2_0_relu", "registered_name": null} |
| layer153_conv4_block2_1_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 288]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block2_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block2_1_conv", "registered_name": null} |
| layer154_conv4_block2_1_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block2_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block2_1_bn", "registered_name": null} |
| layer155_conv4_block2_1_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block2_1_relu", "trainable": false}, "inbound_nodes": [[["conv4_block2_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block2_1_relu", "registered_name": null} |
| layer156_conv4_block2_2_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block2_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block2_2_conv", "registered_name": null} |
| layer157_conv4_block2_concat | | default: {"build_config": {"input_shape": [[null, 8, 8, 288], [null, 8, 8, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv4_block2_concat", "trainable": false}, "inbound_nodes": [[["conv4_block1_concat", 0, 0, {}], ["conv4_block2_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block2_concat", "registered_name": null} |
| layer158_conv4_block3_0_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 320]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block2_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block3_0_bn", "registered_name": null} |
| layer159_conv4_block3_0_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 320]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block3_0_relu", "trainable": false}, "inbound_nodes": [[["conv4_block3_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block3_0_relu", "registered_name": null} |
| layer160_conv4_block3_1_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 320]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block3_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block3_1_conv", "registered_name": null} |
| layer161_conv4_block3_1_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block3_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block3_1_bn", "registered_name": null} |
| layer162_conv4_block3_1_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block3_1_relu", "trainable": false}, "inbound_nodes": [[["conv4_block3_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block3_1_relu", "registered_name": null} |
| layer163_conv4_block3_2_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block3_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block3_2_conv", "registered_name": null} |
| layer164_conv4_block3_concat | | default: {"build_config": {"input_shape": [[null, 8, 8, 320], [null, 8, 8, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv4_block3_concat", "trainable": false}, "inbound_nodes": [[["conv4_block2_concat", 0, 0, {}], ["conv4_block3_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block3_concat", "registered_name": null} |
| layer165_conv4_block4_0_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 352]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block3_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block4_0_bn", "registered_name": null} |
| layer166_conv4_block4_0_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 352]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block4_0_relu", "trainable": false}, "inbound_nodes": [[["conv4_block4_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block4_0_relu", "registered_name": null} |
| layer167_conv4_block4_1_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 352]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block4_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block4_1_conv", "registered_name": null} |
| layer168_conv4_block4_1_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block4_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block4_1_bn", "registered_name": null} |
| layer169_conv4_block4_1_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block4_1_relu", "trainable": false}, "inbound_nodes": [[["conv4_block4_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block4_1_relu", "registered_name": null} |
| layer170_conv4_block4_2_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block4_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block4_2_conv", "registered_name": null} |
| layer171_conv4_block4_concat | | default: {"build_config": {"input_shape": [[null, 8, 8, 352], [null, 8, 8, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv4_block4_concat", "trainable": false}, "inbound_nodes": [[["conv4_block3_concat", 0, 0, {}], ["conv4_block4_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block4_concat", "registered_name": null} |
| layer172_conv4_block5_0_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 384]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block4_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block5_0_bn", "registered_name": null} |
| layer173_conv4_block5_0_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 384]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block5_0_relu", "trainable": false}, "inbound_nodes": [[["conv4_block5_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block5_0_relu", "registered_name": null} |
| layer174_conv4_block5_1_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 384]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block5_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block5_1_conv", "registered_name": null} |
| layer175_conv4_block5_1_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block5_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block5_1_bn", "registered_name": null} |
| layer176_conv4_block5_1_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block5_1_relu", "trainable": false}, "inbound_nodes": [[["conv4_block5_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block5_1_relu", "registered_name": null} |
| layer177_conv4_block5_2_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block5_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block5_2_conv", "registered_name": null} |
| layer178_conv4_block5_concat | | default: {"build_config": {"input_shape": [[null, 8, 8, 384], [null, 8, 8, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv4_block5_concat", "trainable": false}, "inbound_nodes": [[["conv4_block4_concat", 0, 0, {}], ["conv4_block5_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block5_concat", "registered_name": null} |
| layer179_conv4_block6_0_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 416]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block5_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block6_0_bn", "registered_name": null} |
| layer180_conv4_block6_0_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 416]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block6_0_relu", "trainable": false}, "inbound_nodes": [[["conv4_block6_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block6_0_relu", "registered_name": null} |
| layer181_conv4_block6_1_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 416]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block6_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block6_1_conv", "registered_name": null} |
| layer182_conv4_block6_1_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block6_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block6_1_bn", "registered_name": null} |
| layer183_conv4_block6_1_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block6_1_relu", "trainable": false}, "inbound_nodes": [[["conv4_block6_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block6_1_relu", "registered_name": null} |
| layer184_conv4_block6_2_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block6_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block6_2_conv", "registered_name": null} |
| layer185_conv4_block6_concat | | default: {"build_config": {"input_shape": [[null, 8, 8, 416], [null, 8, 8, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv4_block6_concat", "trainable": false}, "inbound_nodes": [[["conv4_block5_concat", 0, 0, {}], ["conv4_block6_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block6_concat", "registered_name": null} |
| layer186_conv4_block7_0_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 448]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block6_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block7_0_bn", "registered_name": null} |
| layer187_conv4_block7_0_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 448]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block7_0_relu", "trainable": false}, "inbound_nodes": [[["conv4_block7_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block7_0_relu", "registered_name": null} |
| layer188_conv4_block7_1_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 448]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block7_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block7_1_conv", "registered_name": null} |
| layer189_conv4_block7_1_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block7_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block7_1_bn", "registered_name": null} |
| layer190_conv4_block7_1_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block7_1_relu", "trainable": false}, "inbound_nodes": [[["conv4_block7_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block7_1_relu", "registered_name": null} |
| layer191_conv4_block7_2_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block7_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block7_2_conv", "registered_name": null} |
| layer192_conv4_block7_concat | | default: {"build_config": {"input_shape": [[null, 8, 8, 448], [null, 8, 8, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv4_block7_concat", "trainable": false}, "inbound_nodes": [[["conv4_block6_concat", 0, 0, {}], ["conv4_block7_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block7_concat", "registered_name": null} |
| layer193_conv4_block8_0_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 480]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block7_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block8_0_bn", "registered_name": null} |
| layer194_conv4_block8_0_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 480]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block8_0_relu", "trainable": false}, "inbound_nodes": [[["conv4_block8_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block8_0_relu", "registered_name": null} |
| layer195_conv4_block8_1_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 480]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block8_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block8_1_conv", "registered_name": null} |
| layer196_conv4_block8_1_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block8_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block8_1_bn", "registered_name": null} |
| layer197_conv4_block8_1_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block8_1_relu", "trainable": false}, "inbound_nodes": [[["conv4_block8_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block8_1_relu", "registered_name": null} |
| layer198_conv4_block8_2_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block8_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block8_2_conv", "registered_name": null} |
| layer199_conv4_block8_concat | | default: {"build_config": {"input_shape": [[null, 8, 8, 480], [null, 8, 8, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv4_block8_concat", "trainable": false}, "inbound_nodes": [[["conv4_block7_concat", 0, 0, {}], ["conv4_block8_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block8_concat", "registered_name": null} |
| layer200_conv4_block9_0_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 512]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block8_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block9_0_bn", "registered_name": null} |
| layer201_conv4_block9_0_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 512]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block9_0_relu", "trainable": false}, "inbound_nodes": [[["conv4_block9_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block9_0_relu", "registered_name": null} |
| layer202_conv4_block9_1_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 512]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block9_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block9_1_conv", "registered_name": null} |
| layer203_conv4_block9_1_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block9_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block9_1_bn", "registered_name": null} |
| layer204_conv4_block9_1_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block9_1_relu", "trainable": false}, "inbound_nodes": [[["conv4_block9_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block9_1_relu", "registered_name": null} |
| layer205_conv4_block9_2_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block9_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block9_2_conv", "registered_name": null} |
| layer206_conv4_block9_concat | | default: {"build_config": {"input_shape": [[null, 8, 8, 512], [null, 8, 8, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv4_block9_concat", "trainable": false}, "inbound_nodes": [[["conv4_block8_concat", 0, 0, {}], ["conv4_block9_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block9_concat", "registered_name": null} |
| layer207_conv4_block10_0_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 544]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block9_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block10_0_bn", "registered_name": null} |
| layer208_conv4_block10_0_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 544]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block10_0_relu", "trainable": false}, "inbound_nodes": [[["conv4_block10_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block10_0_relu", "registered_name": null} |
| layer209_conv4_block10_1_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 544]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block10_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block10_1_conv", "registered_name": null} |
| layer210_conv4_block10_1_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block10_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block10_1_bn", "registered_name": null} |
| layer211_conv4_block10_1_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block10_1_relu", "trainable": false}, "inbound_nodes": [[["conv4_block10_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block10_1_relu", "registered_name": null} |
| layer212_conv4_block10_2_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block10_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block10_2_conv", "registered_name": null} |
| layer213_conv4_block10_concat | | default: {"build_config": {"input_shape": [[null, 8, 8, 544], [null, 8, 8, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv4_block10_concat", "trainable": false}, "inbound_nodes": [[["conv4_block9_concat", 0, 0, {}], ["conv4_block10_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block10_concat", "registered_name": null} |
| layer214_conv4_block11_0_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 576]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block10_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block11_0_bn", "registered_name": null} |
| layer215_conv4_block11_0_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 576]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block11_0_relu", "trainable": false}, "inbound_nodes": [[["conv4_block11_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block11_0_relu", "registered_name": null} |
| layer216_conv4_block11_1_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 576]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block11_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block11_1_conv", "registered_name": null} |
| layer217_conv4_block11_1_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block11_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block11_1_bn", "registered_name": null} |
| layer218_conv4_block11_1_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block11_1_relu", "trainable": false}, "inbound_nodes": [[["conv4_block11_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block11_1_relu", "registered_name": null} |
| layer219_conv4_block11_2_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block11_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block11_2_conv", "registered_name": null} |
| layer220_conv4_block11_concat | | default: {"build_config": {"input_shape": [[null, 8, 8, 576], [null, 8, 8, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv4_block11_concat", "trainable": false}, "inbound_nodes": [[["conv4_block10_concat", 0, 0, {}], ["conv4_block11_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block11_concat", "registered_name": null} |
| layer221_conv4_block12_0_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 608]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block11_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block12_0_bn", "registered_name": null} |
| layer222_conv4_block12_0_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 608]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block12_0_relu", "trainable": false}, "inbound_nodes": [[["conv4_block12_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block12_0_relu", "registered_name": null} |
| layer223_conv4_block12_1_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 608]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block12_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block12_1_conv", "registered_name": null} |
| layer224_conv4_block12_1_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block12_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block12_1_bn", "registered_name": null} |
| layer225_conv4_block12_1_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block12_1_relu", "trainable": false}, "inbound_nodes": [[["conv4_block12_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block12_1_relu", "registered_name": null} |
| layer226_conv4_block12_2_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block12_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block12_2_conv", "registered_name": null} |
| layer227_conv4_block12_concat | | default: {"build_config": {"input_shape": [[null, 8, 8, 608], [null, 8, 8, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv4_block12_concat", "trainable": false}, "inbound_nodes": [[["conv4_block11_concat", 0, 0, {}], ["conv4_block12_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block12_concat", "registered_name": null} |
| layer228_conv4_block13_0_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 640]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block12_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block13_0_bn", "registered_name": null} |
| layer229_conv4_block13_0_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 640]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block13_0_relu", "trainable": false}, "inbound_nodes": [[["conv4_block13_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block13_0_relu", "registered_name": null} |
| layer230_conv4_block13_1_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 640]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block13_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block13_1_conv", "registered_name": null} |
| layer231_conv4_block13_1_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block13_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block13_1_bn", "registered_name": null} |
| layer232_conv4_block13_1_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block13_1_relu", "trainable": false}, "inbound_nodes": [[["conv4_block13_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block13_1_relu", "registered_name": null} |
| layer233_conv4_block13_2_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block13_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block13_2_conv", "registered_name": null} |
| layer234_conv4_block13_concat | | default: {"build_config": {"input_shape": [[null, 8, 8, 640], [null, 8, 8, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv4_block13_concat", "trainable": false}, "inbound_nodes": [[["conv4_block12_concat", 0, 0, {}], ["conv4_block13_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block13_concat", "registered_name": null} |
| layer235_conv4_block14_0_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 672]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block13_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block14_0_bn", "registered_name": null} |
| layer236_conv4_block14_0_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 672]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block14_0_relu", "trainable": false}, "inbound_nodes": [[["conv4_block14_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block14_0_relu", "registered_name": null} |
| layer237_conv4_block14_1_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 672]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block14_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block14_1_conv", "registered_name": null} |
| layer238_conv4_block14_1_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block14_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block14_1_bn", "registered_name": null} |
| layer239_conv4_block14_1_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block14_1_relu", "trainable": false}, "inbound_nodes": [[["conv4_block14_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block14_1_relu", "registered_name": null} |
| layer240_conv4_block14_2_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block14_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block14_2_conv", "registered_name": null} |
| layer241_conv4_block14_concat | | default: {"build_config": {"input_shape": [[null, 8, 8, 672], [null, 8, 8, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv4_block14_concat", "trainable": false}, "inbound_nodes": [[["conv4_block13_concat", 0, 0, {}], ["conv4_block14_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block14_concat", "registered_name": null} |
| layer242_conv4_block15_0_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 704]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block14_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block15_0_bn", "registered_name": null} |
| layer243_conv4_block15_0_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 704]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block15_0_relu", "trainable": false}, "inbound_nodes": [[["conv4_block15_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block15_0_relu", "registered_name": null} |
| layer244_conv4_block15_1_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 704]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block15_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block15_1_conv", "registered_name": null} |
| layer245_conv4_block15_1_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block15_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block15_1_bn", "registered_name": null} |
| layer246_conv4_block15_1_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block15_1_relu", "trainable": false}, "inbound_nodes": [[["conv4_block15_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block15_1_relu", "registered_name": null} |
| layer247_conv4_block15_2_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block15_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block15_2_conv", "registered_name": null} |
| layer248_conv4_block15_concat | | default: {"build_config": {"input_shape": [[null, 8, 8, 704], [null, 8, 8, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv4_block15_concat", "trainable": false}, "inbound_nodes": [[["conv4_block14_concat", 0, 0, {}], ["conv4_block15_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block15_concat", "registered_name": null} |
| layer249_conv4_block16_0_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 736]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block15_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block16_0_bn", "registered_name": null} |
| layer250_conv4_block16_0_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 736]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block16_0_relu", "trainable": false}, "inbound_nodes": [[["conv4_block16_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block16_0_relu", "registered_name": null} |
| layer251_conv4_block16_1_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 736]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block16_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block16_1_conv", "registered_name": null} |
| layer252_conv4_block16_1_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block16_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block16_1_bn", "registered_name": null} |
| layer253_conv4_block16_1_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block16_1_relu", "trainable": false}, "inbound_nodes": [[["conv4_block16_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block16_1_relu", "registered_name": null} |
| layer254_conv4_block16_2_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block16_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block16_2_conv", "registered_name": null} |
| layer255_conv4_block16_concat | | default: {"build_config": {"input_shape": [[null, 8, 8, 736], [null, 8, 8, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv4_block16_concat", "trainable": false}, "inbound_nodes": [[["conv4_block15_concat", 0, 0, {}], ["conv4_block16_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block16_concat", "registered_name": null} |
| layer256_conv4_block17_0_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 768]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block16_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block17_0_bn", "registered_name": null} |
| layer257_conv4_block17_0_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 768]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block17_0_relu", "trainable": false}, "inbound_nodes": [[["conv4_block17_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block17_0_relu", "registered_name": null} |
| layer258_conv4_block17_1_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 768]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block17_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block17_1_conv", "registered_name": null} |
| layer259_conv4_block17_1_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block17_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block17_1_bn", "registered_name": null} |
| layer260_conv4_block17_1_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block17_1_relu", "trainable": false}, "inbound_nodes": [[["conv4_block17_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block17_1_relu", "registered_name": null} |
| layer261_conv4_block17_2_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block17_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block17_2_conv", "registered_name": null} |
| layer262_conv4_block17_concat | | default: {"build_config": {"input_shape": [[null, 8, 8, 768], [null, 8, 8, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv4_block17_concat", "trainable": false}, "inbound_nodes": [[["conv4_block16_concat", 0, 0, {}], ["conv4_block17_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block17_concat", "registered_name": null} |
| layer263_conv4_block18_0_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 800]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block17_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block18_0_bn", "registered_name": null} |
| layer264_conv4_block18_0_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 800]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block18_0_relu", "trainable": false}, "inbound_nodes": [[["conv4_block18_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block18_0_relu", "registered_name": null} |
| layer265_conv4_block18_1_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 800]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block18_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block18_1_conv", "registered_name": null} |
| layer266_conv4_block18_1_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block18_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block18_1_bn", "registered_name": null} |
| layer267_conv4_block18_1_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block18_1_relu", "trainable": false}, "inbound_nodes": [[["conv4_block18_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block18_1_relu", "registered_name": null} |
| layer268_conv4_block18_2_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block18_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block18_2_conv", "registered_name": null} |
| layer269_conv4_block18_concat | | default: {"build_config": {"input_shape": [[null, 8, 8, 800], [null, 8, 8, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv4_block18_concat", "trainable": false}, "inbound_nodes": [[["conv4_block17_concat", 0, 0, {}], ["conv4_block18_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block18_concat", "registered_name": null} |
| layer270_conv4_block19_0_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 832]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block18_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block19_0_bn", "registered_name": null} |
| layer271_conv4_block19_0_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 832]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block19_0_relu", "trainable": false}, "inbound_nodes": [[["conv4_block19_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block19_0_relu", "registered_name": null} |
| layer272_conv4_block19_1_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 832]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block19_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block19_1_conv", "registered_name": null} |
| layer273_conv4_block19_1_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block19_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block19_1_bn", "registered_name": null} |
| layer274_conv4_block19_1_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block19_1_relu", "trainable": false}, "inbound_nodes": [[["conv4_block19_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block19_1_relu", "registered_name": null} |
| layer275_conv4_block19_2_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block19_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block19_2_conv", "registered_name": null} |
| layer276_conv4_block19_concat | | default: {"build_config": {"input_shape": [[null, 8, 8, 832], [null, 8, 8, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv4_block19_concat", "trainable": false}, "inbound_nodes": [[["conv4_block18_concat", 0, 0, {}], ["conv4_block19_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block19_concat", "registered_name": null} |
| layer277_conv4_block20_0_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 864]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block19_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block20_0_bn", "registered_name": null} |
| layer278_conv4_block20_0_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 864]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block20_0_relu", "trainable": false}, "inbound_nodes": [[["conv4_block20_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block20_0_relu", "registered_name": null} |
| layer279_conv4_block20_1_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 864]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block20_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block20_1_conv", "registered_name": null} |
| layer280_conv4_block20_1_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block20_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block20_1_bn", "registered_name": null} |
| layer281_conv4_block20_1_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block20_1_relu", "trainable": false}, "inbound_nodes": [[["conv4_block20_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block20_1_relu", "registered_name": null} |
| layer282_conv4_block20_2_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block20_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block20_2_conv", "registered_name": null} |
| layer283_conv4_block20_concat | | default: {"build_config": {"input_shape": [[null, 8, 8, 864], [null, 8, 8, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv4_block20_concat", "trainable": false}, "inbound_nodes": [[["conv4_block19_concat", 0, 0, {}], ["conv4_block20_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block20_concat", "registered_name": null} |
| layer284_conv4_block21_0_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 896]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block20_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block21_0_bn", "registered_name": null} |
| layer285_conv4_block21_0_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 896]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block21_0_relu", "trainable": false}, "inbound_nodes": [[["conv4_block21_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block21_0_relu", "registered_name": null} |
| layer286_conv4_block21_1_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 896]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block21_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block21_1_conv", "registered_name": null} |
| layer287_conv4_block21_1_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block21_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block21_1_bn", "registered_name": null} |
| layer288_conv4_block21_1_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block21_1_relu", "trainable": false}, "inbound_nodes": [[["conv4_block21_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block21_1_relu", "registered_name": null} |
| layer289_conv4_block21_2_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block21_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block21_2_conv", "registered_name": null} |
| layer290_conv4_block21_concat | | default: {"build_config": {"input_shape": [[null, 8, 8, 896], [null, 8, 8, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv4_block21_concat", "trainable": false}, "inbound_nodes": [[["conv4_block20_concat", 0, 0, {}], ["conv4_block21_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block21_concat", "registered_name": null} |
| layer291_conv4_block22_0_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 928]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block21_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block22_0_bn", "registered_name": null} |
| layer292_conv4_block22_0_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 928]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block22_0_relu", "trainable": false}, "inbound_nodes": [[["conv4_block22_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block22_0_relu", "registered_name": null} |
| layer293_conv4_block22_1_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 928]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block22_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block22_1_conv", "registered_name": null} |
| layer294_conv4_block22_1_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block22_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block22_1_bn", "registered_name": null} |
| layer295_conv4_block22_1_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block22_1_relu", "trainable": false}, "inbound_nodes": [[["conv4_block22_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block22_1_relu", "registered_name": null} |
| layer296_conv4_block22_2_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block22_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block22_2_conv", "registered_name": null} |
| layer297_conv4_block22_concat | | default: {"build_config": {"input_shape": [[null, 8, 8, 928], [null, 8, 8, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv4_block22_concat", "trainable": false}, "inbound_nodes": [[["conv4_block21_concat", 0, 0, {}], ["conv4_block22_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block22_concat", "registered_name": null} |
| layer298_conv4_block23_0_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 960]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block22_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block23_0_bn", "registered_name": null} |
| layer299_conv4_block23_0_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 960]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block23_0_relu", "trainable": false}, "inbound_nodes": [[["conv4_block23_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block23_0_relu", "registered_name": null} |
| layer300_conv4_block23_1_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 960]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block23_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block23_1_conv", "registered_name": null} |
| layer301_conv4_block23_1_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block23_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block23_1_bn", "registered_name": null} |
| layer302_conv4_block23_1_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block23_1_relu", "trainable": false}, "inbound_nodes": [[["conv4_block23_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block23_1_relu", "registered_name": null} |
| layer303_conv4_block23_2_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block23_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block23_2_conv", "registered_name": null} |
| layer304_conv4_block23_concat | | default: {"build_config": {"input_shape": [[null, 8, 8, 960], [null, 8, 8, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv4_block23_concat", "trainable": false}, "inbound_nodes": [[["conv4_block22_concat", 0, 0, {}], ["conv4_block23_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block23_concat", "registered_name": null} |
| layer305_conv4_block24_0_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 992]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block23_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block24_0_bn", "registered_name": null} |
| layer306_conv4_block24_0_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 992]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block24_0_relu", "trainable": false}, "inbound_nodes": [[["conv4_block24_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block24_0_relu", "registered_name": null} |
| layer307_conv4_block24_1_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 992]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block24_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block24_1_conv", "registered_name": null} |
| layer308_conv4_block24_1_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block24_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block24_1_bn", "registered_name": null} |
| layer309_conv4_block24_1_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block24_1_relu", "trainable": false}, "inbound_nodes": [[["conv4_block24_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block24_1_relu", "registered_name": null} |
| layer310_conv4_block24_2_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block24_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block24_2_conv", "registered_name": null} |
| layer311_conv4_block24_concat | | default: {"build_config": {"input_shape": [[null, 8, 8, 992], [null, 8, 8, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv4_block24_concat", "trainable": false}, "inbound_nodes": [[["conv4_block23_concat", 0, 0, {}], ["conv4_block24_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block24_concat", "registered_name": null} |
| layer312_pool4_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 1024]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block24_concat", 0, 0, {}]]], "module": "keras.layers", "name": "pool4_bn", "registered_name": null} |
| layer313_pool4_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 1024]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "pool4_relu", "trainable": false}, "inbound_nodes": [[["pool4_bn", 0, 0, {}]]], "module": "keras.layers", "name": "pool4_relu", "registered_name": null} |
| layer314_pool4_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 1024]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["pool4_relu", 0, 0, {}]]], "module": "keras.layers", "name": "pool4_conv", "registered_name": null} |
| layer315_pool4_pool | | default: {"build_config": {"input_shape": [null, 8, 8, 512]}, "class_name": "AveragePooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "pool4_pool", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": false}, "inbound_nodes": [[["pool4_conv", 0, 0, {}]]], "module": "keras.layers", "name": "pool4_pool", "registered_name": null} |
| layer316_conv5_block1_0_bn | | default: {"build_config": {"input_shape": [null, 4, 4, 512]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["pool4_pool", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block1_0_bn", "registered_name": null} |
| layer317_conv5_block1_0_relu | | default: {"build_config": {"input_shape": [null, 4, 4, 512]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv5_block1_0_relu", "trainable": false}, "inbound_nodes": [[["conv5_block1_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block1_0_relu", "registered_name": null} |
| layer318_conv5_block1_1_conv | | default: {"build_config": {"input_shape": [null, 4, 4, 512]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv5_block1_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block1_1_conv", "registered_name": null} |
| layer319_conv5_block1_1_bn | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv5_block1_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block1_1_bn", "registered_name": null} |
| layer320_conv5_block1_1_relu | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv5_block1_1_relu", "trainable": false}, "inbound_nodes": [[["conv5_block1_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block1_1_relu", "registered_name": null} |
| layer321_conv5_block1_2_conv | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv5_block1_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block1_2_conv", "registered_name": null} |
| layer322_conv5_block1_concat | | default: {"build_config": {"input_shape": [[null, 4, 4, 512], [null, 4, 4, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv5_block1_concat", "trainable": false}, "inbound_nodes": [[["pool4_pool", 0, 0, {}], ["conv5_block1_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block1_concat", "registered_name": null} |
| layer323_conv5_block2_0_bn | | default: {"build_config": {"input_shape": [null, 4, 4, 544]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv5_block1_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block2_0_bn", "registered_name": null} |
| layer324_conv5_block2_0_relu | | default: {"build_config": {"input_shape": [null, 4, 4, 544]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv5_block2_0_relu", "trainable": false}, "inbound_nodes": [[["conv5_block2_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block2_0_relu", "registered_name": null} |
| layer325_conv5_block2_1_conv | | default: {"build_config": {"input_shape": [null, 4, 4, 544]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv5_block2_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block2_1_conv", "registered_name": null} |
| layer326_conv5_block2_1_bn | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv5_block2_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block2_1_bn", "registered_name": null} |
| layer327_conv5_block2_1_relu | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv5_block2_1_relu", "trainable": false}, "inbound_nodes": [[["conv5_block2_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block2_1_relu", "registered_name": null} |
| layer328_conv5_block2_2_conv | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv5_block2_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block2_2_conv", "registered_name": null} |
| layer329_conv5_block2_concat | | default: {"build_config": {"input_shape": [[null, 4, 4, 544], [null, 4, 4, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv5_block2_concat", "trainable": false}, "inbound_nodes": [[["conv5_block1_concat", 0, 0, {}], ["conv5_block2_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block2_concat", "registered_name": null} |
| layer330_conv5_block3_0_bn | | default: {"build_config": {"input_shape": [null, 4, 4, 576]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv5_block2_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block3_0_bn", "registered_name": null} |
| layer331_conv5_block3_0_relu | | default: {"build_config": {"input_shape": [null, 4, 4, 576]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv5_block3_0_relu", "trainable": false}, "inbound_nodes": [[["conv5_block3_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block3_0_relu", "registered_name": null} |
| layer332_conv5_block3_1_conv | | default: {"build_config": {"input_shape": [null, 4, 4, 576]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv5_block3_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block3_1_conv", "registered_name": null} |
| layer333_conv5_block3_1_bn | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv5_block3_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block3_1_bn", "registered_name": null} |
| layer334_conv5_block3_1_relu | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv5_block3_1_relu", "trainable": false}, "inbound_nodes": [[["conv5_block3_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block3_1_relu", "registered_name": null} |
| layer335_conv5_block3_2_conv | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv5_block3_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block3_2_conv", "registered_name": null} |
| layer336_conv5_block3_concat | | default: {"build_config": {"input_shape": [[null, 4, 4, 576], [null, 4, 4, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv5_block3_concat", "trainable": false}, "inbound_nodes": [[["conv5_block2_concat", 0, 0, {}], ["conv5_block3_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block3_concat", "registered_name": null} |
| layer337_conv5_block4_0_bn | | default: {"build_config": {"input_shape": [null, 4, 4, 608]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv5_block3_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block4_0_bn", "registered_name": null} |
| layer338_conv5_block4_0_relu | | default: {"build_config": {"input_shape": [null, 4, 4, 608]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv5_block4_0_relu", "trainable": false}, "inbound_nodes": [[["conv5_block4_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block4_0_relu", "registered_name": null} |
| layer339_conv5_block4_1_conv | | default: {"build_config": {"input_shape": [null, 4, 4, 608]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv5_block4_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block4_1_conv", "registered_name": null} |
| layer340_conv5_block4_1_bn | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv5_block4_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block4_1_bn", "registered_name": null} |
| layer341_conv5_block4_1_relu | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv5_block4_1_relu", "trainable": false}, "inbound_nodes": [[["conv5_block4_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block4_1_relu", "registered_name": null} |
| layer342_conv5_block4_2_conv | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv5_block4_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block4_2_conv", "registered_name": null} |
| layer343_conv5_block4_concat | | default: {"build_config": {"input_shape": [[null, 4, 4, 608], [null, 4, 4, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv5_block4_concat", "trainable": false}, "inbound_nodes": [[["conv5_block3_concat", 0, 0, {}], ["conv5_block4_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block4_concat", "registered_name": null} |
| layer344_conv5_block5_0_bn | | default: {"build_config": {"input_shape": [null, 4, 4, 640]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv5_block4_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block5_0_bn", "registered_name": null} |
| layer345_conv5_block5_0_relu | | default: {"build_config": {"input_shape": [null, 4, 4, 640]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv5_block5_0_relu", "trainable": false}, "inbound_nodes": [[["conv5_block5_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block5_0_relu", "registered_name": null} |
| layer346_conv5_block5_1_conv | | default: {"build_config": {"input_shape": [null, 4, 4, 640]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv5_block5_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block5_1_conv", "registered_name": null} |
| layer347_conv5_block5_1_bn | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv5_block5_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block5_1_bn", "registered_name": null} |
| layer348_conv5_block5_1_relu | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv5_block5_1_relu", "trainable": false}, "inbound_nodes": [[["conv5_block5_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block5_1_relu", "registered_name": null} |
| layer349_conv5_block5_2_conv | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv5_block5_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block5_2_conv", "registered_name": null} |
| layer350_conv5_block5_concat | | default: {"build_config": {"input_shape": [[null, 4, 4, 640], [null, 4, 4, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv5_block5_concat", "trainable": false}, "inbound_nodes": [[["conv5_block4_concat", 0, 0, {}], ["conv5_block5_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block5_concat", "registered_name": null} |
| layer351_conv5_block6_0_bn | | default: {"build_config": {"input_shape": [null, 4, 4, 672]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv5_block5_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block6_0_bn", "registered_name": null} |
| layer352_conv5_block6_0_relu | | default: {"build_config": {"input_shape": [null, 4, 4, 672]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv5_block6_0_relu", "trainable": false}, "inbound_nodes": [[["conv5_block6_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block6_0_relu", "registered_name": null} |
| layer353_conv5_block6_1_conv | | default: {"build_config": {"input_shape": [null, 4, 4, 672]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv5_block6_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block6_1_conv", "registered_name": null} |
| layer354_conv5_block6_1_bn | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv5_block6_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block6_1_bn", "registered_name": null} |
| layer355_conv5_block6_1_relu | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv5_block6_1_relu", "trainable": false}, "inbound_nodes": [[["conv5_block6_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block6_1_relu", "registered_name": null} |
| layer356_conv5_block6_2_conv | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv5_block6_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block6_2_conv", "registered_name": null} |
| layer357_conv5_block6_concat | | default: {"build_config": {"input_shape": [[null, 4, 4, 672], [null, 4, 4, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv5_block6_concat", "trainable": false}, "inbound_nodes": [[["conv5_block5_concat", 0, 0, {}], ["conv5_block6_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block6_concat", "registered_name": null} |
| layer358_conv5_block7_0_bn | | default: {"build_config": {"input_shape": [null, 4, 4, 704]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv5_block6_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block7_0_bn", "registered_name": null} |
| layer359_conv5_block7_0_relu | | default: {"build_config": {"input_shape": [null, 4, 4, 704]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv5_block7_0_relu", "trainable": false}, "inbound_nodes": [[["conv5_block7_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block7_0_relu", "registered_name": null} |
| layer360_conv5_block7_1_conv | | default: {"build_config": {"input_shape": [null, 4, 4, 704]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv5_block7_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block7_1_conv", "registered_name": null} |
| layer361_conv5_block7_1_bn | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv5_block7_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block7_1_bn", "registered_name": null} |
| layer362_conv5_block7_1_relu | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv5_block7_1_relu", "trainable": false}, "inbound_nodes": [[["conv5_block7_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block7_1_relu", "registered_name": null} |
| layer363_conv5_block7_2_conv | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv5_block7_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block7_2_conv", "registered_name": null} |
| layer364_conv5_block7_concat | | default: {"build_config": {"input_shape": [[null, 4, 4, 704], [null, 4, 4, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv5_block7_concat", "trainable": false}, "inbound_nodes": [[["conv5_block6_concat", 0, 0, {}], ["conv5_block7_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block7_concat", "registered_name": null} |
| layer365_conv5_block8_0_bn | | default: {"build_config": {"input_shape": [null, 4, 4, 736]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv5_block7_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block8_0_bn", "registered_name": null} |
| layer366_conv5_block8_0_relu | | default: {"build_config": {"input_shape": [null, 4, 4, 736]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv5_block8_0_relu", "trainable": false}, "inbound_nodes": [[["conv5_block8_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block8_0_relu", "registered_name": null} |
| layer367_conv5_block8_1_conv | | default: {"build_config": {"input_shape": [null, 4, 4, 736]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv5_block8_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block8_1_conv", "registered_name": null} |
| layer368_conv5_block8_1_bn | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv5_block8_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block8_1_bn", "registered_name": null} |
| layer369_conv5_block8_1_relu | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv5_block8_1_relu", "trainable": false}, "inbound_nodes": [[["conv5_block8_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block8_1_relu", "registered_name": null} |
| layer370_conv5_block8_2_conv | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv5_block8_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block8_2_conv", "registered_name": null} |
| layer371_conv5_block8_concat | | default: {"build_config": {"input_shape": [[null, 4, 4, 736], [null, 4, 4, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv5_block8_concat", "trainable": false}, "inbound_nodes": [[["conv5_block7_concat", 0, 0, {}], ["conv5_block8_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block8_concat", "registered_name": null} |
| layer372_conv5_block9_0_bn | | default: {"build_config": {"input_shape": [null, 4, 4, 768]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv5_block8_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block9_0_bn", "registered_name": null} |
| layer373_conv5_block9_0_relu | | default: {"build_config": {"input_shape": [null, 4, 4, 768]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv5_block9_0_relu", "trainable": false}, "inbound_nodes": [[["conv5_block9_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block9_0_relu", "registered_name": null} |
| layer374_conv5_block9_1_conv | | default: {"build_config": {"input_shape": [null, 4, 4, 768]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv5_block9_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block9_1_conv", "registered_name": null} |
| layer375_conv5_block9_1_bn | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv5_block9_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block9_1_bn", "registered_name": null} |
| layer376_conv5_block9_1_relu | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv5_block9_1_relu", "trainable": false}, "inbound_nodes": [[["conv5_block9_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block9_1_relu", "registered_name": null} |
| layer377_conv5_block9_2_conv | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv5_block9_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block9_2_conv", "registered_name": null} |
| layer378_conv5_block9_concat | | default: {"build_config": {"input_shape": [[null, 4, 4, 768], [null, 4, 4, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv5_block9_concat", "trainable": false}, "inbound_nodes": [[["conv5_block8_concat", 0, 0, {}], ["conv5_block9_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block9_concat", "registered_name": null} |
| layer379_conv5_block10_0_bn | | default: {"build_config": {"input_shape": [null, 4, 4, 800]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv5_block9_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block10_0_bn", "registered_name": null} |
| layer380_conv5_block10_0_relu | | default: {"build_config": {"input_shape": [null, 4, 4, 800]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv5_block10_0_relu", "trainable": false}, "inbound_nodes": [[["conv5_block10_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block10_0_relu", "registered_name": null} |
| layer381_conv5_block10_1_conv | | default: {"build_config": {"input_shape": [null, 4, 4, 800]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv5_block10_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block10_1_conv", "registered_name": null} |
| layer382_conv5_block10_1_bn | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv5_block10_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block10_1_bn", "registered_name": null} |
| layer383_conv5_block10_1_relu | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv5_block10_1_relu", "trainable": false}, "inbound_nodes": [[["conv5_block10_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block10_1_relu", "registered_name": null} |
| layer384_conv5_block10_2_conv | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv5_block10_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block10_2_conv", "registered_name": null} |
| layer385_conv5_block10_concat | | default: {"build_config": {"input_shape": [[null, 4, 4, 800], [null, 4, 4, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv5_block10_concat", "trainable": false}, "inbound_nodes": [[["conv5_block9_concat", 0, 0, {}], ["conv5_block10_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block10_concat", "registered_name": null} |
| layer386_conv5_block11_0_bn | | default: {"build_config": {"input_shape": [null, 4, 4, 832]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv5_block10_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block11_0_bn", "registered_name": null} |
| layer387_conv5_block11_0_relu | | default: {"build_config": {"input_shape": [null, 4, 4, 832]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv5_block11_0_relu", "trainable": false}, "inbound_nodes": [[["conv5_block11_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block11_0_relu", "registered_name": null} |
| layer388_conv5_block11_1_conv | | default: {"build_config": {"input_shape": [null, 4, 4, 832]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv5_block11_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block11_1_conv", "registered_name": null} |
| layer389_conv5_block11_1_bn | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv5_block11_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block11_1_bn", "registered_name": null} |
| layer390_conv5_block11_1_relu | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv5_block11_1_relu", "trainable": false}, "inbound_nodes": [[["conv5_block11_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block11_1_relu", "registered_name": null} |
| layer391_conv5_block11_2_conv | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv5_block11_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block11_2_conv", "registered_name": null} |
| layer392_conv5_block11_concat | | default: {"build_config": {"input_shape": [[null, 4, 4, 832], [null, 4, 4, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv5_block11_concat", "trainable": false}, "inbound_nodes": [[["conv5_block10_concat", 0, 0, {}], ["conv5_block11_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block11_concat", "registered_name": null} |
| layer393_conv5_block12_0_bn | | default: {"build_config": {"input_shape": [null, 4, 4, 864]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv5_block11_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block12_0_bn", "registered_name": null} |
| layer394_conv5_block12_0_relu | | default: {"build_config": {"input_shape": [null, 4, 4, 864]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv5_block12_0_relu", "trainable": false}, "inbound_nodes": [[["conv5_block12_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block12_0_relu", "registered_name": null} |
| layer395_conv5_block12_1_conv | | default: {"build_config": {"input_shape": [null, 4, 4, 864]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv5_block12_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block12_1_conv", "registered_name": null} |
| layer396_conv5_block12_1_bn | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv5_block12_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block12_1_bn", "registered_name": null} |
| layer397_conv5_block12_1_relu | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv5_block12_1_relu", "trainable": false}, "inbound_nodes": [[["conv5_block12_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block12_1_relu", "registered_name": null} |
| layer398_conv5_block12_2_conv | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv5_block12_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block12_2_conv", "registered_name": null} |
| layer399_conv5_block12_concat | | default: {"build_config": {"input_shape": [[null, 4, 4, 864], [null, 4, 4, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv5_block12_concat", "trainable": false}, "inbound_nodes": [[["conv5_block11_concat", 0, 0, {}], ["conv5_block12_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block12_concat", "registered_name": null} |
| layer400_conv5_block13_0_bn | | default: {"build_config": {"input_shape": [null, 4, 4, 896]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv5_block12_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block13_0_bn", "registered_name": null} |
| layer401_conv5_block13_0_relu | | default: {"build_config": {"input_shape": [null, 4, 4, 896]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv5_block13_0_relu", "trainable": false}, "inbound_nodes": [[["conv5_block13_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block13_0_relu", "registered_name": null} |
| layer402_conv5_block13_1_conv | | default: {"build_config": {"input_shape": [null, 4, 4, 896]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv5_block13_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block13_1_conv", "registered_name": null} |
| layer403_conv5_block13_1_bn | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv5_block13_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block13_1_bn", "registered_name": null} |
| layer404_conv5_block13_1_relu | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv5_block13_1_relu", "trainable": false}, "inbound_nodes": [[["conv5_block13_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block13_1_relu", "registered_name": null} |
| layer405_conv5_block13_2_conv | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv5_block13_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block13_2_conv", "registered_name": null} |
| layer406_conv5_block13_concat | | default: {"build_config": {"input_shape": [[null, 4, 4, 896], [null, 4, 4, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv5_block13_concat", "trainable": false}, "inbound_nodes": [[["conv5_block12_concat", 0, 0, {}], ["conv5_block13_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block13_concat", "registered_name": null} |
| layer407_conv5_block14_0_bn | | default: {"build_config": {"input_shape": [null, 4, 4, 928]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv5_block13_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block14_0_bn", "registered_name": null} |
| layer408_conv5_block14_0_relu | | default: {"build_config": {"input_shape": [null, 4, 4, 928]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv5_block14_0_relu", "trainable": false}, "inbound_nodes": [[["conv5_block14_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block14_0_relu", "registered_name": null} |
| layer409_conv5_block14_1_conv | | default: {"build_config": {"input_shape": [null, 4, 4, 928]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv5_block14_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block14_1_conv", "registered_name": null} |
| layer410_conv5_block14_1_bn | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv5_block14_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block14_1_bn", "registered_name": null} |
| layer411_conv5_block14_1_relu | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv5_block14_1_relu", "trainable": false}, "inbound_nodes": [[["conv5_block14_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block14_1_relu", "registered_name": null} |
| layer412_conv5_block14_2_conv | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv5_block14_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block14_2_conv", "registered_name": null} |
| layer413_conv5_block14_concat | | default: {"build_config": {"input_shape": [[null, 4, 4, 928], [null, 4, 4, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv5_block14_concat", "trainable": false}, "inbound_nodes": [[["conv5_block13_concat", 0, 0, {}], ["conv5_block14_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block14_concat", "registered_name": null} |
| layer414_conv5_block15_0_bn | | default: {"build_config": {"input_shape": [null, 4, 4, 960]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv5_block14_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block15_0_bn", "registered_name": null} |
| layer415_conv5_block15_0_relu | | default: {"build_config": {"input_shape": [null, 4, 4, 960]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv5_block15_0_relu", "trainable": false}, "inbound_nodes": [[["conv5_block15_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block15_0_relu", "registered_name": null} |
| layer416_conv5_block15_1_conv | | default: {"build_config": {"input_shape": [null, 4, 4, 960]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv5_block15_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block15_1_conv", "registered_name": null} |
| layer417_conv5_block15_1_bn | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv5_block15_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block15_1_bn", "registered_name": null} |
| layer418_conv5_block15_1_relu | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv5_block15_1_relu", "trainable": false}, "inbound_nodes": [[["conv5_block15_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block15_1_relu", "registered_name": null} |
| layer419_conv5_block15_2_conv | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv5_block15_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block15_2_conv", "registered_name": null} |
| layer420_conv5_block15_concat | | default: {"build_config": {"input_shape": [[null, 4, 4, 960], [null, 4, 4, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv5_block15_concat", "trainable": false}, "inbound_nodes": [[["conv5_block14_concat", 0, 0, {}], ["conv5_block15_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block15_concat", "registered_name": null} |
| layer421_conv5_block16_0_bn | | default: {"build_config": {"input_shape": [null, 4, 4, 992]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv5_block15_concat", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block16_0_bn", "registered_name": null} |
| layer422_conv5_block16_0_relu | | default: {"build_config": {"input_shape": [null, 4, 4, 992]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv5_block16_0_relu", "trainable": false}, "inbound_nodes": [[["conv5_block16_0_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block16_0_relu", "registered_name": null} |
| layer423_conv5_block16_1_conv | | default: {"build_config": {"input_shape": [null, 4, 4, 992]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv5_block16_0_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block16_1_conv", "registered_name": null} |
| layer424_conv5_block16_1_bn | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv5_block16_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block16_1_bn", "registered_name": null} |
| layer425_conv5_block16_1_relu | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv5_block16_1_relu", "trainable": false}, "inbound_nodes": [[["conv5_block16_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block16_1_relu", "registered_name": null} |
| layer426_conv5_block16_2_conv | | default: {"build_config": {"input_shape": [null, 4, 4, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv5_block16_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block16_2_conv", "registered_name": null} |
| layer427_conv5_block16_concat | | default: {"build_config": {"input_shape": [[null, 4, 4, 992], [null, 4, 4, 32]]}, "class_name": "Concatenate", "config": {"axis": 3, "dtype": "float32", "name": "conv5_block16_concat", "trainable": false}, "inbound_nodes": [[["conv5_block15_concat", 0, 0, {}], ["conv5_block16_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block16_concat", "registered_name": null} |
| layer428_bn | | default: {"build_config": {"input_shape": [null, 4, 4, 1024]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv5_block16_concat", 0, 0, {}]]], "module": "keras.layers", "name": "bn", "registered_name": null} |
| layer429_relu | | default: {"build_config": {"input_shape": [null, 4, 4, 1024]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "relu", "trainable": false}, "inbound_nodes": [[["bn", 0, 0, {}]]], "module": "keras.layers", "name": "relu", "registered_name": null} |
| layer430_global_average_pooling2d | | default: {"build_config": {"input_shape": [null, 4, 4, 1024]}, "class_name": "GlobalAveragePooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "keepdims": false, "name": "global_average_pooling2d", "trainable": true}, "inbound_nodes": [[["relu", 0, 0, {}]]], "module": "keras.layers", "name": "global_average_pooling2d", "registered_name": null} |
| layer431_dropout | | default: {"build_config": {"input_shape": [null, 1024]}, "class_name": "Dropout", "config": {"dtype": "float32", "name": "dropout", "noise_shape": null, "rate": 0.2, "seed": null, "trainable": true}, "inbound_nodes": [[["global_average_pooling2d", 0, 0, {}]]], "module": "keras.layers", "name": "dropout", "registered_name": null} |
| layer432_dense | | default: {"build_config": {"input_shape": [null, 1024]}, "class_name": "Dense", "config": {"activation": "softmax", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}, "module": "keras.initializers", "registered_name": null}, "bias_regularizer": null, "dtype": "float32", "kernel_constraint": null, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "module": "keras.initializers", "registered_name": null}, "kernel_regularizer": null, "name": "dense", "trainable": true, "units": 67, "use_bias": true}, "inbound_nodes": [[["dropout", 0, 0, {}]]], "module": "keras.layers", "name": "dense", "registered_name": null} |
| optimizer | | default: {"loss": "categorical_crossentropy", "metrics": [], "optimizer_config": {"class_name": "RMSprop", "config": {"centered": false, "decay": 0.0, "epsilon": 1e-07, "learning_rate": 0.001, "momentum": 0.0, "name": "RMSprop", "rho": 0.9}}} |
| tensorflow_version | | default: "2.15.0" |