backend | | default: "tensorflow" |
class_name | | default: "Sequential" |
config | | default: {"name": "sequential"} |
layer000_resnet50v2_input | | default: {"class_name": "InputLayer", "config": {"batch_input_shape": [null, 128, 128, 3], "dtype": "float32", "name": "resnet50v2_input", "ragged": false, "sparse": false}, "module": "keras.layers", "registered_name": null} |
layer001_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} |
layer002_conv1_pad | | default: {"build_config": {"input_shape": [null, 128, 128, 3]}, "class_name": "ZeroPadding2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "conv1_pad", "padding": [[3, 3], [3, 3]], "trainable": true}, "inbound_nodes": [[["input_1", 0, 0, {}]]], "module": "keras.layers", "name": "conv1_pad", "registered_name": null} |
layer003_conv1_conv | | default: {"build_config": {"input_shape": [null, 134, 134, 3]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv1_pad", 0, 0, {}]]], "module": "keras.layers", "name": "conv1_conv", "registered_name": null} |
layer004_pool1_pad | | default: {"build_config": {"input_shape": [null, 64, 64, 64]}, "class_name": "ZeroPadding2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "pool1_pad", "padding": [[1, 1], [1, 1]], "trainable": true}, "inbound_nodes": [[["conv1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "pool1_pad", "registered_name": null} |
layer005_pool1_pool | | default: {"build_config": {"input_shape": [null, 66, 66, 64]}, "class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "pool1_pool", "padding": "valid", "pool_size": [3, 3], "strides": [2, 2], "trainable": true}, "inbound_nodes": [[["pool1_pad", 0, 0, {}]]], "module": "keras.layers", "name": "pool1_pool", "registered_name": null} |
layer006_conv2_block1_preact_bn | | default: {"build_config": {"input_shape": [null, 32, 32, 64]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["pool1_pool", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block1_preact_bn", "registered_name": null} |
layer007_conv2_block1_preact_relu | | default: {"build_config": {"input_shape": [null, 32, 32, 64]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv2_block1_preact_relu", "trainable": true}, "inbound_nodes": [[["conv2_block1_preact_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block1_preact_relu", "registered_name": null} |
layer008_conv2_block1_1_conv | | default: {"build_config": {"input_shape": [null, 32, 32, 64]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv2_block1_preact_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block1_1_conv", "registered_name": null} |
layer009_conv2_block1_1_bn | | default: {"build_config": {"input_shape": [null, 32, 32, 64]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv2_block1_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block1_1_bn", "registered_name": null} |
layer010_conv2_block1_1_relu | | default: {"build_config": {"input_shape": [null, 32, 32, 64]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv2_block1_1_relu", "trainable": true}, "inbound_nodes": [[["conv2_block1_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block1_1_relu", "registered_name": null} |
layer011_conv2_block1_2_pad | | default: {"build_config": {"input_shape": [null, 32, 32, 64]}, "class_name": "ZeroPadding2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "conv2_block1_2_pad", "padding": [[1, 1], [1, 1]], "trainable": true}, "inbound_nodes": [[["conv2_block1_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block1_2_pad", "registered_name": null} |
layer012_conv2_block1_2_conv | | default: {"build_config": {"input_shape": [null, 34, 34, 64]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv2_block1_2_pad", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block1_2_conv", "registered_name": null} |
layer013_conv2_block1_2_bn | | default: {"build_config": {"input_shape": [null, 32, 32, 64]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv2_block1_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block1_2_bn", "registered_name": null} |
layer014_conv2_block1_2_relu | | default: {"build_config": {"input_shape": [null, 32, 32, 64]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv2_block1_2_relu", "trainable": true}, "inbound_nodes": [[["conv2_block1_2_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block1_2_relu", "registered_name": null} |
layer015_conv2_block1_0_conv | | default: {"build_config": {"input_shape": [null, 32, 32, 64]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv2_block1_preact_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block1_0_conv", "registered_name": null} |
layer016_conv2_block1_3_conv | | default: {"build_config": {"input_shape": [null, 32, 32, 64]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv2_block1_2_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block1_3_conv", "registered_name": null} |
layer017_conv2_block1_out | | default: {"build_config": {"input_shape": [[null, 32, 32, 256], [null, 32, 32, 256]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "conv2_block1_out", "trainable": true}, "inbound_nodes": [[["conv2_block1_0_conv", 0, 0, {}], ["conv2_block1_3_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block1_out", "registered_name": null} |
layer018_conv2_block2_preact_bn | | default: {"build_config": {"input_shape": [null, 32, 32, 256]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv2_block1_out", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block2_preact_bn", "registered_name": null} |
layer019_conv2_block2_preact_relu | | default: {"build_config": {"input_shape": [null, 32, 32, 256]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv2_block2_preact_relu", "trainable": true}, "inbound_nodes": [[["conv2_block2_preact_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block2_preact_relu", "registered_name": null} |
layer020_conv2_block2_1_conv | | default: {"build_config": {"input_shape": [null, 32, 32, 256]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv2_block2_preact_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block2_1_conv", "registered_name": null} |
layer021_conv2_block2_1_bn | | default: {"build_config": {"input_shape": [null, 32, 32, 64]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv2_block2_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block2_1_bn", "registered_name": null} |
layer022_conv2_block2_1_relu | | default: {"build_config": {"input_shape": [null, 32, 32, 64]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv2_block2_1_relu", "trainable": true}, "inbound_nodes": [[["conv2_block2_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block2_1_relu", "registered_name": null} |
layer023_conv2_block2_2_pad | | default: {"build_config": {"input_shape": [null, 32, 32, 64]}, "class_name": "ZeroPadding2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "conv2_block2_2_pad", "padding": [[1, 1], [1, 1]], "trainable": true}, "inbound_nodes": [[["conv2_block2_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block2_2_pad", "registered_name": null} |
layer024_conv2_block2_2_conv | | default: {"build_config": {"input_shape": [null, 34, 34, 64]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv2_block2_2_pad", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block2_2_conv", "registered_name": null} |
layer025_conv2_block2_2_bn | | default: {"build_config": {"input_shape": [null, 32, 32, 64]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv2_block2_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block2_2_bn", "registered_name": null} |
layer026_conv2_block2_2_relu | | default: {"build_config": {"input_shape": [null, 32, 32, 64]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv2_block2_2_relu", "trainable": true}, "inbound_nodes": [[["conv2_block2_2_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block2_2_relu", "registered_name": null} |
layer027_conv2_block2_3_conv | | default: {"build_config": {"input_shape": [null, 32, 32, 64]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv2_block2_2_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block2_3_conv", "registered_name": null} |
layer028_conv2_block2_out | | default: {"build_config": {"input_shape": [[null, 32, 32, 256], [null, 32, 32, 256]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "conv2_block2_out", "trainable": true}, "inbound_nodes": [[["conv2_block1_out", 0, 0, {}], ["conv2_block2_3_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block2_out", "registered_name": null} |
layer029_conv2_block3_preact_bn | | default: {"build_config": {"input_shape": [null, 32, 32, 256]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv2_block2_out", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block3_preact_bn", "registered_name": null} |
layer030_conv2_block3_preact_relu | | default: {"build_config": {"input_shape": [null, 32, 32, 256]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv2_block3_preact_relu", "trainable": true}, "inbound_nodes": [[["conv2_block3_preact_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block3_preact_relu", "registered_name": null} |
layer031_conv2_block3_1_conv | | default: {"build_config": {"input_shape": [null, 32, 32, 256]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv2_block3_preact_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block3_1_conv", "registered_name": null} |
layer032_conv2_block3_1_bn | | default: {"build_config": {"input_shape": [null, 32, 32, 64]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv2_block3_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block3_1_bn", "registered_name": null} |
layer033_conv2_block3_1_relu | | default: {"build_config": {"input_shape": [null, 32, 32, 64]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv2_block3_1_relu", "trainable": true}, "inbound_nodes": [[["conv2_block3_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block3_1_relu", "registered_name": null} |
layer034_conv2_block3_2_pad | | default: {"build_config": {"input_shape": [null, 32, 32, 64]}, "class_name": "ZeroPadding2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "conv2_block3_2_pad", "padding": [[1, 1], [1, 1]], "trainable": true}, "inbound_nodes": [[["conv2_block3_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block3_2_pad", "registered_name": null} |
layer035_conv2_block3_2_conv | | default: {"build_config": {"input_shape": [null, 34, 34, 64]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv2_block3_2_pad", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block3_2_conv", "registered_name": null} |
layer036_conv2_block3_2_bn | | default: {"build_config": {"input_shape": [null, 16, 16, 64]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv2_block3_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block3_2_bn", "registered_name": null} |
layer037_conv2_block3_2_relu | | default: {"build_config": {"input_shape": [null, 16, 16, 64]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv2_block3_2_relu", "trainable": true}, "inbound_nodes": [[["conv2_block3_2_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block3_2_relu", "registered_name": null} |
layer038_max_pooling2d | | default: {"build_config": {"input_shape": [null, 32, 32, 256]}, "class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "max_pooling2d", "padding": "valid", "pool_size": [1, 1], "strides": [2, 2], "trainable": true}, "inbound_nodes": [[["conv2_block2_out", 0, 0, {}]]], "module": "keras.layers", "name": "max_pooling2d", "registered_name": null} |
layer039_conv2_block3_3_conv | | default: {"build_config": {"input_shape": [null, 16, 16, 64]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv2_block3_2_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block3_3_conv", "registered_name": null} |
layer040_conv2_block3_out | | default: {"build_config": {"input_shape": [[null, 16, 16, 256], [null, 16, 16, 256]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "conv2_block3_out", "trainable": true}, "inbound_nodes": [[["max_pooling2d", 0, 0, {}], ["conv2_block3_3_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv2_block3_out", "registered_name": null} |
layer041_conv3_block1_preact_bn | | default: {"build_config": {"input_shape": [null, 16, 16, 256]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv2_block3_out", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block1_preact_bn", "registered_name": null} |
layer042_conv3_block1_preact_relu | | default: {"build_config": {"input_shape": [null, 16, 16, 256]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv3_block1_preact_relu", "trainable": true}, "inbound_nodes": [[["conv3_block1_preact_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block1_preact_relu", "registered_name": null} |
layer043_conv3_block1_1_conv | | default: {"build_config": {"input_shape": [null, 16, 16, 256]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv3_block1_preact_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block1_1_conv", "registered_name": null} |
layer044_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} |
layer045_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": true}, "inbound_nodes": [[["conv3_block1_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block1_1_relu", "registered_name": null} |
layer046_conv3_block1_2_pad | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "ZeroPadding2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "conv3_block1_2_pad", "padding": [[1, 1], [1, 1]], "trainable": true}, "inbound_nodes": [[["conv3_block1_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block1_2_pad", "registered_name": null} |
layer047_conv3_block1_2_conv | | default: {"build_config": {"input_shape": [null, 18, 18, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv3_block1_2_pad", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block1_2_conv", "registered_name": null} |
layer048_conv3_block1_2_bn | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv3_block1_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block1_2_bn", "registered_name": null} |
layer049_conv3_block1_2_relu | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv3_block1_2_relu", "trainable": true}, "inbound_nodes": [[["conv3_block1_2_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block1_2_relu", "registered_name": null} |
layer050_conv3_block1_0_conv | | default: {"build_config": {"input_shape": [null, 16, 16, 256]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv3_block1_preact_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block1_0_conv", "registered_name": null} |
layer051_conv3_block1_3_conv | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv3_block1_2_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block1_3_conv", "registered_name": null} |
layer052_conv3_block1_out | | default: {"build_config": {"input_shape": [[null, 16, 16, 512], [null, 16, 16, 512]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "conv3_block1_out", "trainable": true}, "inbound_nodes": [[["conv3_block1_0_conv", 0, 0, {}], ["conv3_block1_3_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block1_out", "registered_name": null} |
layer053_conv3_block2_preact_bn | | default: {"build_config": {"input_shape": [null, 16, 16, 512]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv3_block1_out", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block2_preact_bn", "registered_name": null} |
layer054_conv3_block2_preact_relu | | default: {"build_config": {"input_shape": [null, 16, 16, 512]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv3_block2_preact_relu", "trainable": true}, "inbound_nodes": [[["conv3_block2_preact_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block2_preact_relu", "registered_name": null} |
layer055_conv3_block2_1_conv | | default: {"build_config": {"input_shape": [null, 16, 16, 512]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv3_block2_preact_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block2_1_conv", "registered_name": null} |
layer056_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} |
layer057_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": true}, "inbound_nodes": [[["conv3_block2_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block2_1_relu", "registered_name": null} |
layer058_conv3_block2_2_pad | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "ZeroPadding2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "conv3_block2_2_pad", "padding": [[1, 1], [1, 1]], "trainable": true}, "inbound_nodes": [[["conv3_block2_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block2_2_pad", "registered_name": null} |
layer059_conv3_block2_2_conv | | default: {"build_config": {"input_shape": [null, 18, 18, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv3_block2_2_pad", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block2_2_conv", "registered_name": null} |
layer060_conv3_block2_2_bn | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv3_block2_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block2_2_bn", "registered_name": null} |
layer061_conv3_block2_2_relu | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv3_block2_2_relu", "trainable": true}, "inbound_nodes": [[["conv3_block2_2_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block2_2_relu", "registered_name": null} |
layer062_conv3_block2_3_conv | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv3_block2_2_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block2_3_conv", "registered_name": null} |
layer063_conv3_block2_out | | default: {"build_config": {"input_shape": [[null, 16, 16, 512], [null, 16, 16, 512]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "conv3_block2_out", "trainable": true}, "inbound_nodes": [[["conv3_block1_out", 0, 0, {}], ["conv3_block2_3_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block2_out", "registered_name": null} |
layer064_conv3_block3_preact_bn | | default: {"build_config": {"input_shape": [null, 16, 16, 512]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv3_block2_out", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block3_preact_bn", "registered_name": null} |
layer065_conv3_block3_preact_relu | | default: {"build_config": {"input_shape": [null, 16, 16, 512]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv3_block3_preact_relu", "trainable": true}, "inbound_nodes": [[["conv3_block3_preact_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block3_preact_relu", "registered_name": null} |
layer066_conv3_block3_1_conv | | default: {"build_config": {"input_shape": [null, 16, 16, 512]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv3_block3_preact_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block3_1_conv", "registered_name": null} |
layer067_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} |
layer068_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": true}, "inbound_nodes": [[["conv3_block3_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block3_1_relu", "registered_name": null} |
layer069_conv3_block3_2_pad | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "ZeroPadding2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "conv3_block3_2_pad", "padding": [[1, 1], [1, 1]], "trainable": true}, "inbound_nodes": [[["conv3_block3_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block3_2_pad", "registered_name": null} |
layer070_conv3_block3_2_conv | | default: {"build_config": {"input_shape": [null, 18, 18, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv3_block3_2_pad", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block3_2_conv", "registered_name": null} |
layer071_conv3_block3_2_bn | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv3_block3_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block3_2_bn", "registered_name": null} |
layer072_conv3_block3_2_relu | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv3_block3_2_relu", "trainable": true}, "inbound_nodes": [[["conv3_block3_2_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block3_2_relu", "registered_name": null} |
layer073_conv3_block3_3_conv | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv3_block3_2_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block3_3_conv", "registered_name": null} |
layer074_conv3_block3_out | | default: {"build_config": {"input_shape": [[null, 16, 16, 512], [null, 16, 16, 512]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "conv3_block3_out", "trainable": true}, "inbound_nodes": [[["conv3_block2_out", 0, 0, {}], ["conv3_block3_3_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block3_out", "registered_name": null} |
layer075_conv3_block4_preact_bn | | default: {"build_config": {"input_shape": [null, 16, 16, 512]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv3_block3_out", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block4_preact_bn", "registered_name": null} |
layer076_conv3_block4_preact_relu | | default: {"build_config": {"input_shape": [null, 16, 16, 512]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv3_block4_preact_relu", "trainable": true}, "inbound_nodes": [[["conv3_block4_preact_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block4_preact_relu", "registered_name": null} |
layer077_conv3_block4_1_conv | | default: {"build_config": {"input_shape": [null, 16, 16, 512]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv3_block4_preact_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block4_1_conv", "registered_name": null} |
layer078_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} |
layer079_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": true}, "inbound_nodes": [[["conv3_block4_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block4_1_relu", "registered_name": null} |
layer080_conv3_block4_2_pad | | default: {"build_config": {"input_shape": [null, 16, 16, 128]}, "class_name": "ZeroPadding2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "conv3_block4_2_pad", "padding": [[1, 1], [1, 1]], "trainable": true}, "inbound_nodes": [[["conv3_block4_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block4_2_pad", "registered_name": null} |
layer081_conv3_block4_2_conv | | default: {"build_config": {"input_shape": [null, 18, 18, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv3_block4_2_pad", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block4_2_conv", "registered_name": null} |
layer082_conv3_block4_2_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv3_block4_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block4_2_bn", "registered_name": null} |
layer083_conv3_block4_2_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv3_block4_2_relu", "trainable": true}, "inbound_nodes": [[["conv3_block4_2_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block4_2_relu", "registered_name": null} |
layer084_max_pooling2d_1 | | default: {"build_config": {"input_shape": [null, 16, 16, 512]}, "class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "max_pooling2d_1", "padding": "valid", "pool_size": [1, 1], "strides": [2, 2], "trainable": true}, "inbound_nodes": [[["conv3_block3_out", 0, 0, {}]]], "module": "keras.layers", "name": "max_pooling2d_1", "registered_name": null} |
layer085_conv3_block4_3_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 128]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv3_block4_2_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block4_3_conv", "registered_name": null} |
layer086_conv3_block4_out | | default: {"build_config": {"input_shape": [[null, 8, 8, 512], [null, 8, 8, 512]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "conv3_block4_out", "trainable": true}, "inbound_nodes": [[["max_pooling2d_1", 0, 0, {}], ["conv3_block4_3_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv3_block4_out", "registered_name": null} |
layer087_conv4_block1_preact_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 512]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv3_block4_out", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block1_preact_bn", "registered_name": null} |
layer088_conv4_block1_preact_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 512]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block1_preact_relu", "trainable": true}, "inbound_nodes": [[["conv4_block1_preact_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block1_preact_relu", "registered_name": null} |
layer089_conv4_block1_1_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 512]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block1_preact_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block1_1_conv", "registered_name": null} |
layer090_conv4_block1_1_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 256]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block1_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block1_1_bn", "registered_name": null} |
layer091_conv4_block1_1_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 256]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block1_1_relu", "trainable": true}, "inbound_nodes": [[["conv4_block1_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block1_1_relu", "registered_name": null} |
layer092_conv4_block1_2_pad | | default: {"build_config": {"input_shape": [null, 8, 8, 256]}, "class_name": "ZeroPadding2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "conv4_block1_2_pad", "padding": [[1, 1], [1, 1]], "trainable": true}, "inbound_nodes": [[["conv4_block1_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block1_2_pad", "registered_name": null} |
layer093_conv4_block1_2_conv | | default: {"build_config": {"input_shape": [null, 10, 10, 256]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block1_2_pad", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block1_2_conv", "registered_name": null} |
layer094_conv4_block1_2_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 256]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block1_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block1_2_bn", "registered_name": null} |
layer095_conv4_block1_2_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 256]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block1_2_relu", "trainable": true}, "inbound_nodes": [[["conv4_block1_2_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block1_2_relu", "registered_name": null} |
layer096_conv4_block1_0_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 512]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block1_preact_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block1_0_conv", "registered_name": null} |
layer097_conv4_block1_3_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 256]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block1_2_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block1_3_conv", "registered_name": null} |
layer098_conv4_block1_out | | default: {"build_config": {"input_shape": [[null, 8, 8, 1024], [null, 8, 8, 1024]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "conv4_block1_out", "trainable": true}, "inbound_nodes": [[["conv4_block1_0_conv", 0, 0, {}], ["conv4_block1_3_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block1_out", "registered_name": null} |
layer099_conv4_block2_preact_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 1024]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block1_out", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block2_preact_bn", "registered_name": null} |
layer100_conv4_block2_preact_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 1024]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block2_preact_relu", "trainable": true}, "inbound_nodes": [[["conv4_block2_preact_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block2_preact_relu", "registered_name": null} |
layer101_conv4_block2_1_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 1024]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block2_preact_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block2_1_conv", "registered_name": null} |
layer102_conv4_block2_1_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 256]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block2_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block2_1_bn", "registered_name": null} |
layer103_conv4_block2_1_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 256]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block2_1_relu", "trainable": true}, "inbound_nodes": [[["conv4_block2_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block2_1_relu", "registered_name": null} |
layer104_conv4_block2_2_pad | | default: {"build_config": {"input_shape": [null, 8, 8, 256]}, "class_name": "ZeroPadding2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "conv4_block2_2_pad", "padding": [[1, 1], [1, 1]], "trainable": true}, "inbound_nodes": [[["conv4_block2_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block2_2_pad", "registered_name": null} |
layer105_conv4_block2_2_conv | | default: {"build_config": {"input_shape": [null, 10, 10, 256]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block2_2_pad", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block2_2_conv", "registered_name": null} |
layer106_conv4_block2_2_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 256]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block2_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block2_2_bn", "registered_name": null} |
layer107_conv4_block2_2_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 256]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block2_2_relu", "trainable": true}, "inbound_nodes": [[["conv4_block2_2_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block2_2_relu", "registered_name": null} |
layer108_conv4_block2_3_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 256]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block2_2_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block2_3_conv", "registered_name": null} |
layer109_conv4_block2_out | | default: {"build_config": {"input_shape": [[null, 8, 8, 1024], [null, 8, 8, 1024]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "conv4_block2_out", "trainable": true}, "inbound_nodes": [[["conv4_block1_out", 0, 0, {}], ["conv4_block2_3_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block2_out", "registered_name": null} |
layer110_conv4_block3_preact_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 1024]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block2_out", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block3_preact_bn", "registered_name": null} |
layer111_conv4_block3_preact_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 1024]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block3_preact_relu", "trainable": true}, "inbound_nodes": [[["conv4_block3_preact_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block3_preact_relu", "registered_name": null} |
layer112_conv4_block3_1_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 1024]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block3_preact_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block3_1_conv", "registered_name": null} |
layer113_conv4_block3_1_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 256]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block3_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block3_1_bn", "registered_name": null} |
layer114_conv4_block3_1_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 256]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block3_1_relu", "trainable": true}, "inbound_nodes": [[["conv4_block3_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block3_1_relu", "registered_name": null} |
layer115_conv4_block3_2_pad | | default: {"build_config": {"input_shape": [null, 8, 8, 256]}, "class_name": "ZeroPadding2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "conv4_block3_2_pad", "padding": [[1, 1], [1, 1]], "trainable": true}, "inbound_nodes": [[["conv4_block3_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block3_2_pad", "registered_name": null} |
layer116_conv4_block3_2_conv | | default: {"build_config": {"input_shape": [null, 10, 10, 256]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block3_2_pad", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block3_2_conv", "registered_name": null} |
layer117_conv4_block3_2_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 256]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block3_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block3_2_bn", "registered_name": null} |
layer118_conv4_block3_2_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 256]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block3_2_relu", "trainable": true}, "inbound_nodes": [[["conv4_block3_2_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block3_2_relu", "registered_name": null} |
layer119_conv4_block3_3_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 256]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block3_2_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block3_3_conv", "registered_name": null} |
layer120_conv4_block3_out | | default: {"build_config": {"input_shape": [[null, 8, 8, 1024], [null, 8, 8, 1024]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "conv4_block3_out", "trainable": true}, "inbound_nodes": [[["conv4_block2_out", 0, 0, {}], ["conv4_block3_3_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block3_out", "registered_name": null} |
layer121_conv4_block4_preact_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 1024]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block3_out", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block4_preact_bn", "registered_name": null} |
layer122_conv4_block4_preact_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 1024]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block4_preact_relu", "trainable": true}, "inbound_nodes": [[["conv4_block4_preact_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block4_preact_relu", "registered_name": null} |
layer123_conv4_block4_1_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 1024]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block4_preact_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block4_1_conv", "registered_name": null} |
layer124_conv4_block4_1_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 256]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block4_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block4_1_bn", "registered_name": null} |
layer125_conv4_block4_1_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 256]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block4_1_relu", "trainable": true}, "inbound_nodes": [[["conv4_block4_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block4_1_relu", "registered_name": null} |
layer126_conv4_block4_2_pad | | default: {"build_config": {"input_shape": [null, 8, 8, 256]}, "class_name": "ZeroPadding2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "conv4_block4_2_pad", "padding": [[1, 1], [1, 1]], "trainable": true}, "inbound_nodes": [[["conv4_block4_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block4_2_pad", "registered_name": null} |
layer127_conv4_block4_2_conv | | default: {"build_config": {"input_shape": [null, 10, 10, 256]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block4_2_pad", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block4_2_conv", "registered_name": null} |
layer128_conv4_block4_2_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 256]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block4_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block4_2_bn", "registered_name": null} |
layer129_conv4_block4_2_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 256]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block4_2_relu", "trainable": true}, "inbound_nodes": [[["conv4_block4_2_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block4_2_relu", "registered_name": null} |
layer130_conv4_block4_3_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 256]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block4_2_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block4_3_conv", "registered_name": null} |
layer131_conv4_block4_out | | default: {"build_config": {"input_shape": [[null, 8, 8, 1024], [null, 8, 8, 1024]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "conv4_block4_out", "trainable": true}, "inbound_nodes": [[["conv4_block3_out", 0, 0, {}], ["conv4_block4_3_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block4_out", "registered_name": null} |
layer132_conv4_block5_preact_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 1024]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block4_out", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block5_preact_bn", "registered_name": null} |
layer133_conv4_block5_preact_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 1024]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block5_preact_relu", "trainable": true}, "inbound_nodes": [[["conv4_block5_preact_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block5_preact_relu", "registered_name": null} |
layer134_conv4_block5_1_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 1024]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block5_preact_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block5_1_conv", "registered_name": null} |
layer135_conv4_block5_1_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 256]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block5_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block5_1_bn", "registered_name": null} |
layer136_conv4_block5_1_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 256]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block5_1_relu", "trainable": true}, "inbound_nodes": [[["conv4_block5_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block5_1_relu", "registered_name": null} |
layer137_conv4_block5_2_pad | | default: {"build_config": {"input_shape": [null, 8, 8, 256]}, "class_name": "ZeroPadding2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "conv4_block5_2_pad", "padding": [[1, 1], [1, 1]], "trainable": true}, "inbound_nodes": [[["conv4_block5_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block5_2_pad", "registered_name": null} |
layer138_conv4_block5_2_conv | | default: {"build_config": {"input_shape": [null, 10, 10, 256]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block5_2_pad", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block5_2_conv", "registered_name": null} |
layer139_conv4_block5_2_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 256]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block5_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block5_2_bn", "registered_name": null} |
layer140_conv4_block5_2_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 256]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block5_2_relu", "trainable": true}, "inbound_nodes": [[["conv4_block5_2_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block5_2_relu", "registered_name": null} |
layer141_conv4_block5_3_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 256]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block5_2_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block5_3_conv", "registered_name": null} |
layer142_conv4_block5_out | | default: {"build_config": {"input_shape": [[null, 8, 8, 1024], [null, 8, 8, 1024]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "conv4_block5_out", "trainable": true}, "inbound_nodes": [[["conv4_block4_out", 0, 0, {}], ["conv4_block5_3_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block5_out", "registered_name": null} |
layer143_conv4_block6_preact_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 1024]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block5_out", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block6_preact_bn", "registered_name": null} |
layer144_conv4_block6_preact_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 1024]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block6_preact_relu", "trainable": true}, "inbound_nodes": [[["conv4_block6_preact_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block6_preact_relu", "registered_name": null} |
layer145_conv4_block6_1_conv | | default: {"build_config": {"input_shape": [null, 8, 8, 1024]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block6_preact_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block6_1_conv", "registered_name": null} |
layer146_conv4_block6_1_bn | | default: {"build_config": {"input_shape": [null, 8, 8, 256]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block6_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block6_1_bn", "registered_name": null} |
layer147_conv4_block6_1_relu | | default: {"build_config": {"input_shape": [null, 8, 8, 256]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block6_1_relu", "trainable": true}, "inbound_nodes": [[["conv4_block6_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block6_1_relu", "registered_name": null} |
layer148_conv4_block6_2_pad | | default: {"build_config": {"input_shape": [null, 8, 8, 256]}, "class_name": "ZeroPadding2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "conv4_block6_2_pad", "padding": [[1, 1], [1, 1]], "trainable": true}, "inbound_nodes": [[["conv4_block6_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block6_2_pad", "registered_name": null} |
layer149_conv4_block6_2_conv | | default: {"build_config": {"input_shape": [null, 10, 10, 256]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block6_2_pad", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block6_2_conv", "registered_name": null} |
layer150_conv4_block6_2_bn | | default: {"build_config": {"input_shape": [null, 4, 4, 256]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block6_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block6_2_bn", "registered_name": null} |
layer151_conv4_block6_2_relu | | default: {"build_config": {"input_shape": [null, 4, 4, 256]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv4_block6_2_relu", "trainable": true}, "inbound_nodes": [[["conv4_block6_2_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block6_2_relu", "registered_name": null} |
layer152_max_pooling2d_2 | | default: {"build_config": {"input_shape": [null, 8, 8, 1024]}, "class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "max_pooling2d_2", "padding": "valid", "pool_size": [1, 1], "strides": [2, 2], "trainable": true}, "inbound_nodes": [[["conv4_block5_out", 0, 0, {}]]], "module": "keras.layers", "name": "max_pooling2d_2", "registered_name": null} |
layer153_conv4_block6_3_conv | | default: {"build_config": {"input_shape": [null, 4, 4, 256]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv4_block6_2_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block6_3_conv", "registered_name": null} |
layer154_conv4_block6_out | | default: {"build_config": {"input_shape": [[null, 4, 4, 1024], [null, 4, 4, 1024]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "conv4_block6_out", "trainable": true}, "inbound_nodes": [[["max_pooling2d_2", 0, 0, {}], ["conv4_block6_3_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv4_block6_out", "registered_name": null} |
layer155_conv5_block1_preact_bn | | default: {"build_config": {"input_shape": [null, 4, 4, 1024]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv4_block6_out", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block1_preact_bn", "registered_name": null} |
layer156_conv5_block1_preact_relu | | default: {"build_config": {"input_shape": [null, 4, 4, 1024]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv5_block1_preact_relu", "trainable": true}, "inbound_nodes": [[["conv5_block1_preact_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block1_preact_relu", "registered_name": null} |
layer157_conv5_block1_1_conv | | default: {"build_config": {"input_shape": [null, 4, 4, 1024]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv5_block1_preact_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block1_1_conv", "registered_name": null} |
layer158_conv5_block1_1_bn | | default: {"build_config": {"input_shape": [null, 4, 4, 512]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv5_block1_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block1_1_bn", "registered_name": null} |
layer159_conv5_block1_1_relu | | default: {"build_config": {"input_shape": [null, 4, 4, 512]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv5_block1_1_relu", "trainable": true}, "inbound_nodes": [[["conv5_block1_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block1_1_relu", "registered_name": null} |
layer160_conv5_block1_2_pad | | default: {"build_config": {"input_shape": [null, 4, 4, 512]}, "class_name": "ZeroPadding2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "conv5_block1_2_pad", "padding": [[1, 1], [1, 1]], "trainable": true}, "inbound_nodes": [[["conv5_block1_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block1_2_pad", "registered_name": null} |
layer161_conv5_block1_2_conv | | default: {"build_config": {"input_shape": [null, 6, 6, 512]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv5_block1_2_pad", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block1_2_conv", "registered_name": null} |
layer162_conv5_block1_2_bn | | default: {"build_config": {"input_shape": [null, 4, 4, 512]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv5_block1_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block1_2_bn", "registered_name": null} |
layer163_conv5_block1_2_relu | | default: {"build_config": {"input_shape": [null, 4, 4, 512]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv5_block1_2_relu", "trainable": true}, "inbound_nodes": [[["conv5_block1_2_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block1_2_relu", "registered_name": null} |
layer164_conv5_block1_0_conv | | default: {"build_config": {"input_shape": [null, 4, 4, 1024]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv5_block1_preact_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block1_0_conv", "registered_name": null} |
layer165_conv5_block1_3_conv | | default: {"build_config": {"input_shape": [null, 4, 4, 512]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv5_block1_2_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block1_3_conv", "registered_name": null} |
layer166_conv5_block1_out | | default: {"build_config": {"input_shape": [[null, 4, 4, 2048], [null, 4, 4, 2048]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "conv5_block1_out", "trainable": true}, "inbound_nodes": [[["conv5_block1_0_conv", 0, 0, {}], ["conv5_block1_3_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block1_out", "registered_name": null} |
layer167_conv5_block2_preact_bn | | default: {"build_config": {"input_shape": [null, 4, 4, 2048]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv5_block1_out", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block2_preact_bn", "registered_name": null} |
layer168_conv5_block2_preact_relu | | default: {"build_config": {"input_shape": [null, 4, 4, 2048]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv5_block2_preact_relu", "trainable": true}, "inbound_nodes": [[["conv5_block2_preact_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block2_preact_relu", "registered_name": null} |
layer169_conv5_block2_1_conv | | default: {"build_config": {"input_shape": [null, 4, 4, 2048]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv5_block2_preact_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block2_1_conv", "registered_name": null} |
layer170_conv5_block2_1_bn | | default: {"build_config": {"input_shape": [null, 4, 4, 512]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv5_block2_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block2_1_bn", "registered_name": null} |
layer171_conv5_block2_1_relu | | default: {"build_config": {"input_shape": [null, 4, 4, 512]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv5_block2_1_relu", "trainable": true}, "inbound_nodes": [[["conv5_block2_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block2_1_relu", "registered_name": null} |
layer172_conv5_block2_2_pad | | default: {"build_config": {"input_shape": [null, 4, 4, 512]}, "class_name": "ZeroPadding2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "conv5_block2_2_pad", "padding": [[1, 1], [1, 1]], "trainable": true}, "inbound_nodes": [[["conv5_block2_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block2_2_pad", "registered_name": null} |
layer173_conv5_block2_2_conv | | default: {"build_config": {"input_shape": [null, 6, 6, 512]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv5_block2_2_pad", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block2_2_conv", "registered_name": null} |
layer174_conv5_block2_2_bn | | default: {"build_config": {"input_shape": [null, 4, 4, 512]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv5_block2_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block2_2_bn", "registered_name": null} |
layer175_conv5_block2_2_relu | | default: {"build_config": {"input_shape": [null, 4, 4, 512]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv5_block2_2_relu", "trainable": true}, "inbound_nodes": [[["conv5_block2_2_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block2_2_relu", "registered_name": null} |
layer176_conv5_block2_3_conv | | default: {"build_config": {"input_shape": [null, 4, 4, 512]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv5_block2_2_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block2_3_conv", "registered_name": null} |
layer177_conv5_block2_out | | default: {"build_config": {"input_shape": [[null, 4, 4, 2048], [null, 4, 4, 2048]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "conv5_block2_out", "trainable": true}, "inbound_nodes": [[["conv5_block1_out", 0, 0, {}], ["conv5_block2_3_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block2_out", "registered_name": null} |
layer178_conv5_block3_preact_bn | | default: {"build_config": {"input_shape": [null, 4, 4, 2048]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv5_block2_out", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block3_preact_bn", "registered_name": null} |
layer179_conv5_block3_preact_relu | | default: {"build_config": {"input_shape": [null, 4, 4, 2048]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv5_block3_preact_relu", "trainable": true}, "inbound_nodes": [[["conv5_block3_preact_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block3_preact_relu", "registered_name": null} |
layer180_conv5_block3_1_conv | | default: {"build_config": {"input_shape": [null, 4, 4, 2048]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv5_block3_preact_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block3_1_conv", "registered_name": null} |
layer181_conv5_block3_1_bn | | default: {"build_config": {"input_shape": [null, 4, 4, 512]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv5_block3_1_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block3_1_bn", "registered_name": null} |
layer182_conv5_block3_1_relu | | default: {"build_config": {"input_shape": [null, 4, 4, 512]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv5_block3_1_relu", "trainable": true}, "inbound_nodes": [[["conv5_block3_1_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block3_1_relu", "registered_name": null} |
layer183_conv5_block3_2_pad | | default: {"build_config": {"input_shape": [null, 4, 4, 512]}, "class_name": "ZeroPadding2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "conv5_block3_2_pad", "padding": [[1, 1], [1, 1]], "trainable": true}, "inbound_nodes": [[["conv5_block3_1_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block3_2_pad", "registered_name": null} |
layer184_conv5_block3_2_conv | | default: {"build_config": {"input_shape": [null, 6, 6, 512]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv5_block3_2_pad", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block3_2_conv", "registered_name": null} |
layer185_conv5_block3_2_bn | | default: {"build_config": {"input_shape": [null, 4, 4, 512]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv5_block3_2_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block3_2_bn", "registered_name": null} |
layer186_conv5_block3_2_relu | | default: {"build_config": {"input_shape": [null, 4, 4, 512]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "conv5_block3_2_relu", "trainable": true}, "inbound_nodes": [[["conv5_block3_2_bn", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block3_2_relu", "registered_name": null} |
layer187_conv5_block3_3_conv | | default: {"build_config": {"input_shape": [null, 4, 4, 512]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["conv5_block3_2_relu", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block3_3_conv", "registered_name": null} |
layer188_conv5_block3_out | | default: {"build_config": {"input_shape": [[null, 4, 4, 2048], [null, 4, 4, 2048]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "conv5_block3_out", "trainable": true}, "inbound_nodes": [[["conv5_block2_out", 0, 0, {}], ["conv5_block3_3_conv", 0, 0, {}]]], "module": "keras.layers", "name": "conv5_block3_out", "registered_name": null} |
layer189_post_bn | | default: {"build_config": {"input_shape": [null, 4, 4, 2048]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["conv5_block3_out", 0, 0, {}]]], "module": "keras.layers", "name": "post_bn", "registered_name": null} |
layer190_post_relu | | default: {"build_config": {"input_shape": [null, 4, 4, 2048]}, "class_name": "Activation", "config": {"activation": "relu", "dtype": "float32", "name": "post_relu", "trainable": true}, "inbound_nodes": [[["post_bn", 0, 0, {}]]], "module": "keras.layers", "name": "post_relu", "registered_name": null} |
layer191_global_average_pooling2d | | default: {"build_config": {"input_shape": [null, 4, 4, 2048]}, "class_name": "GlobalAveragePooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "keepdims": false, "name": "global_average_pooling2d", "trainable": true}, "module": "keras.layers", "registered_name": null} |
layer192_dense | | default: {"build_config": {"input_shape": [null, 2048]}, "class_name": "Dense", "config": {"activation": "relu", "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": 1024, "use_bias": true}, "module": "keras.layers", "registered_name": null} |
layer193_batch_normalization | | default: {"build_config": {"input_shape": [null, 1024]}, "class_name": "BatchNormalization", "config": [1], "module": "keras.layers", "registered_name": null} |
layer194_dropout | | default: {"build_config": {"input_shape": [null, 1024]}, "class_name": "Dropout", "config": {"dtype": "float32", "name": "dropout", "noise_shape": null, "rate": 0.5, "seed": null, "trainable": true}, "module": "keras.layers", "registered_name": null} |
layer195_dense_1 | | 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_1", "trainable": true, "units": 67, "use_bias": true}, "module": "keras.layers", "registered_name": null} |
optimizer | | default: {"loss": "categorical_crossentropy", "metrics": [], "optimizer_config": {"class_name": "Adam", "config": {"amsgrad": false, "beta_1": 0.9, "beta_2": 0.999, "clipnorm": null, "clipvalue": null, "ema_momentum": 0.99, "ema_overwrite_frequency": null, "epsilon": 1e-07, "global_clipnorm": null, "is_legacy_optimizer": false, "jit_compile": true, "learning_rate": 9.999999747378752e-05, "name": "Adam", "use_ema": false, "weight_decay": null}}} |
tensorflow_version | | default: "2.15.0" |