backend | | default: "tensorflow" |
class_name | | default: "Functional" |
config | | default: {"input_layers": [["input_1", 0, 0]], "name": "model", "output_layers": [["dense_1", 0, 0]], "trainable": true} |
layer000_input_1 | | default: {"class_name": "InputLayer", "config": {"batch_input_shape": [null, 224, 224, 3], "dtype": "float32", "name": "input_1", "ragged": false, "sparse": false}, "inbound_nodes": [], "module": "keras.layers", "name": "input_1", "registered_name": null} |
layer001_rescaling | | default: {"build_config": {"input_shape": [null, 224, 224, 3]}, "class_name": "Rescaling", "config": {"dtype": "float32", "name": "rescaling", "offset": -1.0, "scale": 0.00784313725490196, "trainable": false}, "inbound_nodes": [[["input_1", 0, 0, {}]]], "module": "keras.layers", "name": "rescaling", "registered_name": null} |
layer002_Conv | | default: {"build_config": {"input_shape": [null, 224, 224, 3]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["rescaling", 0, 0, {}]]], "module": "keras.layers", "name": "Conv", "registered_name": null} |
layer003_Conv_BatchNorm | | default: {"build_config": {"input_shape": [null, 112, 112, 16]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["Conv", 0, 0, {}]]], "module": "keras.layers", "name": "Conv/BatchNorm", "registered_name": null} |
layer004_tf.__operators__.add | | default: {"build_config": {"input_shape": [null, 112, 112, 16]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add", "trainable": false}, "inbound_nodes": [["Conv/BatchNorm", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add", "registered_name": "TFOpLambda"} |
layer005_re_lu | | default: {"build_config": {"input_shape": [null, 112, 112, 16]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu", "registered_name": null} |
layer006_tf.math.multiply | | default: {"build_config": {"input_shape": [null, 112, 112, 16]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply", "trainable": false}, "inbound_nodes": [["re_lu", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply", "registered_name": "TFOpLambda"} |
layer007_multiply | | default: {"build_config": {"input_shape": [[null, 112, 112, 16], [null, 112, 112, 16]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply", "trainable": false}, "inbound_nodes": [[["Conv/BatchNorm", 0, 0, {}], ["tf.math.multiply", 0, 0, {}]]], "module": "keras.layers", "name": "multiply", "registered_name": null} |
layer008_expanded_conv_depthwise_pad | | default: {"build_config": {"input_shape": [null, 112, 112, 16]}, "class_name": "ZeroPadding2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "expanded_conv/depthwise/pad", "padding": [[0, 1], [0, 1]], "trainable": false}, "inbound_nodes": [[["multiply", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv/depthwise/pad", "registered_name": null} |
layer009_expanded_conv_depthwise | | default: {"build_config": {"input_shape": [null, 113, 113, 16]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["expanded_conv/depthwise/pad", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv/depthwise", "registered_name": null} |
layer010_expanded_conv_depthwise_BatchNorm | | default: {"build_config": {"input_shape": [null, 56, 56, 16]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv/depthwise", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv/depthwise/BatchNorm", "registered_name": null} |
layer011_re_lu_1 | | default: {"build_config": {"input_shape": [null, 56, 56, 16]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "re_lu_1", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv/depthwise/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_1", "registered_name": null} |
layer012_expanded_conv_squeeze_excite_AvgPool | | default: {"build_config": {"input_shape": [null, 56, 56, 16]}, "class_name": "GlobalAveragePooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "keepdims": true, "name": "expanded_conv/squeeze_excite/AvgPool", "trainable": false}, "inbound_nodes": [[["re_lu_1", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv/squeeze_excite/AvgPool", "registered_name": null} |
layer013_expanded_conv_squeeze_excite_Conv | | default: {"build_config": {"input_shape": [null, 1, 1, 16]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv/squeeze_excite/AvgPool", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv/squeeze_excite/Conv", "registered_name": null} |
layer014_expanded_conv_squeeze_excite_Relu | | default: {"build_config": {"input_shape": [null, 1, 1, 8]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "expanded_conv/squeeze_excite/Relu", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv/squeeze_excite/Conv", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv/squeeze_excite/Relu", "registered_name": null} |
layer015_expanded_conv_squeeze_excite_Conv_1 | | default: {"build_config": {"input_shape": [null, 1, 1, 8]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv/squeeze_excite/Relu", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv/squeeze_excite/Conv_1", "registered_name": null} |
layer016_tf.__operators__.add_1 | | default: {"build_config": {"input_shape": [null, 1, 1, 16]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_1", "trainable": false}, "inbound_nodes": [["expanded_conv/squeeze_excite/Conv_1", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_1", "registered_name": "TFOpLambda"} |
layer017_re_lu_2 | | default: {"build_config": {"input_shape": [null, 1, 1, 16]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_2", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_1", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_2", "registered_name": null} |
layer018_tf.math.multiply_1 | | default: {"build_config": {"input_shape": [null, 1, 1, 16]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_1", "trainable": false}, "inbound_nodes": [["re_lu_2", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_1", "registered_name": "TFOpLambda"} |
layer019_expanded_conv_squeeze_excite_Mul | | default: {"build_config": {"input_shape": [[null, 56, 56, 16], [null, 1, 1, 16]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "expanded_conv/squeeze_excite/Mul", "trainable": false}, "inbound_nodes": [[["re_lu_1", 0, 0, {}], ["tf.math.multiply_1", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv/squeeze_excite/Mul", "registered_name": null} |
layer020_expanded_conv_project | | default: {"build_config": {"input_shape": [null, 56, 56, 16]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv/squeeze_excite/Mul", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv/project", "registered_name": null} |
layer021_expanded_conv_project_BatchNorm | | default: {"build_config": {"input_shape": [null, 56, 56, 16]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv/project", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv/project/BatchNorm", "registered_name": null} |
layer022_expanded_conv_1_expand | | default: {"build_config": {"input_shape": [null, 56, 56, 16]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv/project/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_1/expand", "registered_name": null} |
layer023_expanded_conv_1_expand_BatchNorm | | default: {"build_config": {"input_shape": [null, 56, 56, 72]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_1/expand", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_1/expand/BatchNorm", "registered_name": null} |
layer024_re_lu_3 | | default: {"build_config": {"input_shape": [null, 56, 56, 72]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "re_lu_3", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_1/expand/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_3", "registered_name": null} |
layer025_expanded_conv_1_depthwise_pad | | default: {"build_config": {"input_shape": [null, 56, 56, 72]}, "class_name": "ZeroPadding2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "expanded_conv_1/depthwise/pad", "padding": [[0, 1], [0, 1]], "trainable": false}, "inbound_nodes": [[["re_lu_3", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_1/depthwise/pad", "registered_name": null} |
layer026_expanded_conv_1_depthwise | | default: {"build_config": {"input_shape": [null, 57, 57, 72]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_1/depthwise/pad", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_1/depthwise", "registered_name": null} |
layer027_expanded_conv_1_depthwise_BatchNorm | | default: {"build_config": {"input_shape": [null, 28, 28, 72]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_1/depthwise", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_1/depthwise/BatchNorm", "registered_name": null} |
layer028_re_lu_4 | | default: {"build_config": {"input_shape": [null, 28, 28, 72]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "re_lu_4", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_1/depthwise/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_4", "registered_name": null} |
layer029_expanded_conv_1_project | | default: {"build_config": {"input_shape": [null, 28, 28, 72]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["re_lu_4", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_1/project", "registered_name": null} |
layer030_expanded_conv_1_project_BatchNorm | | default: {"build_config": {"input_shape": [null, 28, 28, 24]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_1/project", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_1/project/BatchNorm", "registered_name": null} |
layer031_expanded_conv_2_expand | | default: {"build_config": {"input_shape": [null, 28, 28, 24]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_1/project/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_2/expand", "registered_name": null} |
layer032_expanded_conv_2_expand_BatchNorm | | default: {"build_config": {"input_shape": [null, 28, 28, 88]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_2/expand", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_2/expand/BatchNorm", "registered_name": null} |
layer033_re_lu_5 | | default: {"build_config": {"input_shape": [null, 28, 28, 88]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "re_lu_5", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_2/expand/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_5", "registered_name": null} |
layer034_expanded_conv_2_depthwise | | default: {"build_config": {"input_shape": [null, 28, 28, 88]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["re_lu_5", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_2/depthwise", "registered_name": null} |
layer035_expanded_conv_2_depthwise_BatchNorm | | default: {"build_config": {"input_shape": [null, 28, 28, 88]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_2/depthwise", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_2/depthwise/BatchNorm", "registered_name": null} |
layer036_re_lu_6 | | default: {"build_config": {"input_shape": [null, 28, 28, 88]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "re_lu_6", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_2/depthwise/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_6", "registered_name": null} |
layer037_expanded_conv_2_project | | default: {"build_config": {"input_shape": [null, 28, 28, 88]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["re_lu_6", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_2/project", "registered_name": null} |
layer038_expanded_conv_2_project_BatchNorm | | default: {"build_config": {"input_shape": [null, 28, 28, 24]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_2/project", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_2/project/BatchNorm", "registered_name": null} |
layer039_expanded_conv_2_Add | | default: {"build_config": {"input_shape": [[null, 28, 28, 24], [null, 28, 28, 24]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "expanded_conv_2/Add", "trainable": false}, "inbound_nodes": [[["expanded_conv_1/project/BatchNorm", 0, 0, {}], ["expanded_conv_2/project/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_2/Add", "registered_name": null} |
layer040_expanded_conv_3_expand | | default: {"build_config": {"input_shape": [null, 28, 28, 24]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_2/Add", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_3/expand", "registered_name": null} |
layer041_expanded_conv_3_expand_BatchNorm | | default: {"build_config": {"input_shape": [null, 28, 28, 96]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_3/expand", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_3/expand/BatchNorm", "registered_name": null} |
layer042_tf.__operators__.add_2 | | default: {"build_config": {"input_shape": [null, 28, 28, 96]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_2", "trainable": false}, "inbound_nodes": [["expanded_conv_3/expand/BatchNorm", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_2", "registered_name": "TFOpLambda"} |
layer043_re_lu_7 | | default: {"build_config": {"input_shape": [null, 28, 28, 96]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_7", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_2", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_7", "registered_name": null} |
layer044_tf.math.multiply_2 | | default: {"build_config": {"input_shape": [null, 28, 28, 96]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_2", "trainable": false}, "inbound_nodes": [["re_lu_7", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_2", "registered_name": "TFOpLambda"} |
layer045_multiply_1 | | default: {"build_config": {"input_shape": [[null, 28, 28, 96], [null, 28, 28, 96]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_1", "trainable": false}, "inbound_nodes": [[["expanded_conv_3/expand/BatchNorm", 0, 0, {}], ["tf.math.multiply_2", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_1", "registered_name": null} |
layer046_expanded_conv_3_depthwise_pad | | default: {"build_config": {"input_shape": [null, 28, 28, 96]}, "class_name": "ZeroPadding2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "expanded_conv_3/depthwise/pad", "padding": [[1, 2], [1, 2]], "trainable": false}, "inbound_nodes": [[["multiply_1", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_3/depthwise/pad", "registered_name": null} |
layer047_expanded_conv_3_depthwise | | default: {"build_config": {"input_shape": [null, 31, 31, 96]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_3/depthwise/pad", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_3/depthwise", "registered_name": null} |
layer048_expanded_conv_3_depthwise_BatchNorm | | default: {"build_config": {"input_shape": [null, 14, 14, 96]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_3/depthwise", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_3/depthwise/BatchNorm", "registered_name": null} |
layer049_tf.__operators__.add_3 | | default: {"build_config": {"input_shape": [null, 14, 14, 96]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_3", "trainable": false}, "inbound_nodes": [["expanded_conv_3/depthwise/BatchNorm", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_3", "registered_name": "TFOpLambda"} |
layer050_re_lu_8 | | default: {"build_config": {"input_shape": [null, 14, 14, 96]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_8", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_3", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_8", "registered_name": null} |
layer051_tf.math.multiply_3 | | default: {"build_config": {"input_shape": [null, 14, 14, 96]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_3", "trainable": false}, "inbound_nodes": [["re_lu_8", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_3", "registered_name": "TFOpLambda"} |
layer052_multiply_2 | | default: {"build_config": {"input_shape": [[null, 14, 14, 96], [null, 14, 14, 96]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_2", "trainable": false}, "inbound_nodes": [[["expanded_conv_3/depthwise/BatchNorm", 0, 0, {}], ["tf.math.multiply_3", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_2", "registered_name": null} |
layer053_expanded_conv_3_squeeze_excite_AvgPool | | default: {"build_config": {"input_shape": [null, 14, 14, 96]}, "class_name": "GlobalAveragePooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "keepdims": true, "name": "expanded_conv_3/squeeze_excite/AvgPool", "trainable": false}, "inbound_nodes": [[["multiply_2", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_3/squeeze_excite/AvgPool", "registered_name": null} |
layer054_expanded_conv_3_squeeze_excite_Conv | | default: {"build_config": {"input_shape": [null, 1, 1, 96]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_3/squeeze_excite/AvgPool", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_3/squeeze_excite/Conv", "registered_name": null} |
layer055_expanded_conv_3_squeeze_excite_Relu | | default: {"build_config": {"input_shape": [null, 1, 1, 24]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "expanded_conv_3/squeeze_excite/Relu", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_3/squeeze_excite/Conv", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_3/squeeze_excite/Relu", "registered_name": null} |
layer056_expanded_conv_3_squeeze_excite_Conv_1 | | default: {"build_config": {"input_shape": [null, 1, 1, 24]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_3/squeeze_excite/Relu", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_3/squeeze_excite/Conv_1", "registered_name": null} |
layer057_tf.__operators__.add_4 | | default: {"build_config": {"input_shape": [null, 1, 1, 96]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_4", "trainable": false}, "inbound_nodes": [["expanded_conv_3/squeeze_excite/Conv_1", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_4", "registered_name": "TFOpLambda"} |
layer058_re_lu_9 | | default: {"build_config": {"input_shape": [null, 1, 1, 96]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_9", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_4", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_9", "registered_name": null} |
layer059_tf.math.multiply_4 | | default: {"build_config": {"input_shape": [null, 1, 1, 96]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_4", "trainable": false}, "inbound_nodes": [["re_lu_9", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_4", "registered_name": "TFOpLambda"} |
layer060_expanded_conv_3_squeeze_excite_Mul | | default: {"build_config": {"input_shape": [[null, 14, 14, 96], [null, 1, 1, 96]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "expanded_conv_3/squeeze_excite/Mul", "trainable": false}, "inbound_nodes": [[["multiply_2", 0, 0, {}], ["tf.math.multiply_4", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_3/squeeze_excite/Mul", "registered_name": null} |
layer061_expanded_conv_3_project | | default: {"build_config": {"input_shape": [null, 14, 14, 96]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_3/squeeze_excite/Mul", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_3/project", "registered_name": null} |
layer062_expanded_conv_3_project_BatchNorm | | default: {"build_config": {"input_shape": [null, 14, 14, 40]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_3/project", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_3/project/BatchNorm", "registered_name": null} |
layer063_expanded_conv_4_expand | | default: {"build_config": {"input_shape": [null, 14, 14, 40]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_3/project/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_4/expand", "registered_name": null} |
layer064_expanded_conv_4_expand_BatchNorm | | default: {"build_config": {"input_shape": [null, 14, 14, 240]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_4/expand", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_4/expand/BatchNorm", "registered_name": null} |
layer065_tf.__operators__.add_5 | | default: {"build_config": {"input_shape": [null, 14, 14, 240]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_5", "trainable": false}, "inbound_nodes": [["expanded_conv_4/expand/BatchNorm", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_5", "registered_name": "TFOpLambda"} |
layer066_re_lu_10 | | default: {"build_config": {"input_shape": [null, 14, 14, 240]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_10", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_5", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_10", "registered_name": null} |
layer067_tf.math.multiply_5 | | default: {"build_config": {"input_shape": [null, 14, 14, 240]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_5", "trainable": false}, "inbound_nodes": [["re_lu_10", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_5", "registered_name": "TFOpLambda"} |
layer068_multiply_3 | | default: {"build_config": {"input_shape": [[null, 14, 14, 240], [null, 14, 14, 240]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_3", "trainable": false}, "inbound_nodes": [[["expanded_conv_4/expand/BatchNorm", 0, 0, {}], ["tf.math.multiply_5", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_3", "registered_name": null} |
layer069_expanded_conv_4_depthwise | | default: {"build_config": {"input_shape": [null, 14, 14, 240]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["multiply_3", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_4/depthwise", "registered_name": null} |
layer070_expanded_conv_4_depthwise_BatchNorm | | default: {"build_config": {"input_shape": [null, 14, 14, 240]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_4/depthwise", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_4/depthwise/BatchNorm", "registered_name": null} |
layer071_tf.__operators__.add_6 | | default: {"build_config": {"input_shape": [null, 14, 14, 240]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_6", "trainable": false}, "inbound_nodes": [["expanded_conv_4/depthwise/BatchNorm", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_6", "registered_name": "TFOpLambda"} |
layer072_re_lu_11 | | default: {"build_config": {"input_shape": [null, 14, 14, 240]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_11", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_6", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_11", "registered_name": null} |
layer073_tf.math.multiply_6 | | default: {"build_config": {"input_shape": [null, 14, 14, 240]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_6", "trainable": false}, "inbound_nodes": [["re_lu_11", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_6", "registered_name": "TFOpLambda"} |
layer074_multiply_4 | | default: {"build_config": {"input_shape": [[null, 14, 14, 240], [null, 14, 14, 240]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_4", "trainable": false}, "inbound_nodes": [[["expanded_conv_4/depthwise/BatchNorm", 0, 0, {}], ["tf.math.multiply_6", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_4", "registered_name": null} |
layer075_expanded_conv_4_squeeze_excite_AvgPool | | default: {"build_config": {"input_shape": [null, 14, 14, 240]}, "class_name": "GlobalAveragePooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "keepdims": true, "name": "expanded_conv_4/squeeze_excite/AvgPool", "trainable": false}, "inbound_nodes": [[["multiply_4", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_4/squeeze_excite/AvgPool", "registered_name": null} |
layer076_expanded_conv_4_squeeze_excite_Conv | | default: {"build_config": {"input_shape": [null, 1, 1, 240]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_4/squeeze_excite/AvgPool", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_4/squeeze_excite/Conv", "registered_name": null} |
layer077_expanded_conv_4_squeeze_excite_Relu | | default: {"build_config": {"input_shape": [null, 1, 1, 64]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "expanded_conv_4/squeeze_excite/Relu", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_4/squeeze_excite/Conv", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_4/squeeze_excite/Relu", "registered_name": null} |
layer078_expanded_conv_4_squeeze_excite_Conv_1 | | default: {"build_config": {"input_shape": [null, 1, 1, 64]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_4/squeeze_excite/Relu", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_4/squeeze_excite/Conv_1", "registered_name": null} |
layer079_tf.__operators__.add_7 | | default: {"build_config": {"input_shape": [null, 1, 1, 240]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_7", "trainable": false}, "inbound_nodes": [["expanded_conv_4/squeeze_excite/Conv_1", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_7", "registered_name": "TFOpLambda"} |
layer080_re_lu_12 | | default: {"build_config": {"input_shape": [null, 1, 1, 240]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_12", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_7", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_12", "registered_name": null} |
layer081_tf.math.multiply_7 | | default: {"build_config": {"input_shape": [null, 1, 1, 240]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_7", "trainable": false}, "inbound_nodes": [["re_lu_12", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_7", "registered_name": "TFOpLambda"} |
layer082_expanded_conv_4_squeeze_excite_Mul | | default: {"build_config": {"input_shape": [[null, 14, 14, 240], [null, 1, 1, 240]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "expanded_conv_4/squeeze_excite/Mul", "trainable": false}, "inbound_nodes": [[["multiply_4", 0, 0, {}], ["tf.math.multiply_7", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_4/squeeze_excite/Mul", "registered_name": null} |
layer083_expanded_conv_4_project | | default: {"build_config": {"input_shape": [null, 14, 14, 240]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_4/squeeze_excite/Mul", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_4/project", "registered_name": null} |
layer084_expanded_conv_4_project_BatchNorm | | default: {"build_config": {"input_shape": [null, 14, 14, 40]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_4/project", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_4/project/BatchNorm", "registered_name": null} |
layer085_expanded_conv_4_Add | | default: {"build_config": {"input_shape": [[null, 14, 14, 40], [null, 14, 14, 40]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "expanded_conv_4/Add", "trainable": false}, "inbound_nodes": [[["expanded_conv_3/project/BatchNorm", 0, 0, {}], ["expanded_conv_4/project/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_4/Add", "registered_name": null} |
layer086_expanded_conv_5_expand | | default: {"build_config": {"input_shape": [null, 14, 14, 40]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_4/Add", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_5/expand", "registered_name": null} |
layer087_expanded_conv_5_expand_BatchNorm | | default: {"build_config": {"input_shape": [null, 14, 14, 240]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_5/expand", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_5/expand/BatchNorm", "registered_name": null} |
layer088_tf.__operators__.add_8 | | default: {"build_config": {"input_shape": [null, 14, 14, 240]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_8", "trainable": false}, "inbound_nodes": [["expanded_conv_5/expand/BatchNorm", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_8", "registered_name": "TFOpLambda"} |
layer089_re_lu_13 | | default: {"build_config": {"input_shape": [null, 14, 14, 240]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_13", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_8", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_13", "registered_name": null} |
layer090_tf.math.multiply_8 | | default: {"build_config": {"input_shape": [null, 14, 14, 240]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_8", "trainable": false}, "inbound_nodes": [["re_lu_13", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_8", "registered_name": "TFOpLambda"} |
layer091_multiply_5 | | default: {"build_config": {"input_shape": [[null, 14, 14, 240], [null, 14, 14, 240]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_5", "trainable": false}, "inbound_nodes": [[["expanded_conv_5/expand/BatchNorm", 0, 0, {}], ["tf.math.multiply_8", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_5", "registered_name": null} |
layer092_expanded_conv_5_depthwise | | default: {"build_config": {"input_shape": [null, 14, 14, 240]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["multiply_5", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_5/depthwise", "registered_name": null} |
layer093_expanded_conv_5_depthwise_BatchNorm | | default: {"build_config": {"input_shape": [null, 14, 14, 240]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_5/depthwise", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_5/depthwise/BatchNorm", "registered_name": null} |
layer094_tf.__operators__.add_9 | | default: {"build_config": {"input_shape": [null, 14, 14, 240]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_9", "trainable": false}, "inbound_nodes": [["expanded_conv_5/depthwise/BatchNorm", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_9", "registered_name": "TFOpLambda"} |
layer095_re_lu_14 | | default: {"build_config": {"input_shape": [null, 14, 14, 240]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_14", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_9", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_14", "registered_name": null} |
layer096_tf.math.multiply_9 | | default: {"build_config": {"input_shape": [null, 14, 14, 240]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_9", "trainable": false}, "inbound_nodes": [["re_lu_14", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_9", "registered_name": "TFOpLambda"} |
layer097_multiply_6 | | default: {"build_config": {"input_shape": [[null, 14, 14, 240], [null, 14, 14, 240]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_6", "trainable": false}, "inbound_nodes": [[["expanded_conv_5/depthwise/BatchNorm", 0, 0, {}], ["tf.math.multiply_9", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_6", "registered_name": null} |
layer098_expanded_conv_5_squeeze_excite_AvgPool | | default: {"build_config": {"input_shape": [null, 14, 14, 240]}, "class_name": "GlobalAveragePooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "keepdims": true, "name": "expanded_conv_5/squeeze_excite/AvgPool", "trainable": false}, "inbound_nodes": [[["multiply_6", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_5/squeeze_excite/AvgPool", "registered_name": null} |
layer099_expanded_conv_5_squeeze_excite_Conv | | default: {"build_config": {"input_shape": [null, 1, 1, 240]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_5/squeeze_excite/AvgPool", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_5/squeeze_excite/Conv", "registered_name": null} |
layer100_expanded_conv_5_squeeze_excite_Relu | | default: {"build_config": {"input_shape": [null, 1, 1, 64]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "expanded_conv_5/squeeze_excite/Relu", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_5/squeeze_excite/Conv", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_5/squeeze_excite/Relu", "registered_name": null} |
layer101_expanded_conv_5_squeeze_excite_Conv_1 | | default: {"build_config": {"input_shape": [null, 1, 1, 64]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_5/squeeze_excite/Relu", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_5/squeeze_excite/Conv_1", "registered_name": null} |
layer102_tf.__operators__.add_10 | | default: {"build_config": {"input_shape": [null, 1, 1, 240]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_10", "trainable": false}, "inbound_nodes": [["expanded_conv_5/squeeze_excite/Conv_1", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_10", "registered_name": "TFOpLambda"} |
layer103_re_lu_15 | | default: {"build_config": {"input_shape": [null, 1, 1, 240]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_15", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_10", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_15", "registered_name": null} |
layer104_tf.math.multiply_10 | | default: {"build_config": {"input_shape": [null, 1, 1, 240]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_10", "trainable": false}, "inbound_nodes": [["re_lu_15", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_10", "registered_name": "TFOpLambda"} |
layer105_expanded_conv_5_squeeze_excite_Mul | | default: {"build_config": {"input_shape": [[null, 14, 14, 240], [null, 1, 1, 240]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "expanded_conv_5/squeeze_excite/Mul", "trainable": false}, "inbound_nodes": [[["multiply_6", 0, 0, {}], ["tf.math.multiply_10", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_5/squeeze_excite/Mul", "registered_name": null} |
layer106_expanded_conv_5_project | | default: {"build_config": {"input_shape": [null, 14, 14, 240]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_5/squeeze_excite/Mul", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_5/project", "registered_name": null} |
layer107_expanded_conv_5_project_BatchNorm | | default: {"build_config": {"input_shape": [null, 14, 14, 40]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_5/project", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_5/project/BatchNorm", "registered_name": null} |
layer108_expanded_conv_5_Add | | default: {"build_config": {"input_shape": [[null, 14, 14, 40], [null, 14, 14, 40]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "expanded_conv_5/Add", "trainable": false}, "inbound_nodes": [[["expanded_conv_4/Add", 0, 0, {}], ["expanded_conv_5/project/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_5/Add", "registered_name": null} |
layer109_expanded_conv_6_expand | | default: {"build_config": {"input_shape": [null, 14, 14, 40]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_5/Add", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_6/expand", "registered_name": null} |
layer110_expanded_conv_6_expand_BatchNorm | | default: {"build_config": {"input_shape": [null, 14, 14, 120]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_6/expand", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_6/expand/BatchNorm", "registered_name": null} |
layer111_tf.__operators__.add_11 | | default: {"build_config": {"input_shape": [null, 14, 14, 120]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_11", "trainable": false}, "inbound_nodes": [["expanded_conv_6/expand/BatchNorm", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_11", "registered_name": "TFOpLambda"} |
layer112_re_lu_16 | | default: {"build_config": {"input_shape": [null, 14, 14, 120]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_16", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_11", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_16", "registered_name": null} |
layer113_tf.math.multiply_11 | | default: {"build_config": {"input_shape": [null, 14, 14, 120]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_11", "trainable": false}, "inbound_nodes": [["re_lu_16", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_11", "registered_name": "TFOpLambda"} |
layer114_multiply_7 | | default: {"build_config": {"input_shape": [[null, 14, 14, 120], [null, 14, 14, 120]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_7", "trainable": false}, "inbound_nodes": [[["expanded_conv_6/expand/BatchNorm", 0, 0, {}], ["tf.math.multiply_11", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_7", "registered_name": null} |
layer115_expanded_conv_6_depthwise | | default: {"build_config": {"input_shape": [null, 14, 14, 120]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["multiply_7", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_6/depthwise", "registered_name": null} |
layer116_expanded_conv_6_depthwise_BatchNorm | | default: {"build_config": {"input_shape": [null, 14, 14, 120]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_6/depthwise", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_6/depthwise/BatchNorm", "registered_name": null} |
layer117_tf.__operators__.add_12 | | default: {"build_config": {"input_shape": [null, 14, 14, 120]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_12", "trainable": false}, "inbound_nodes": [["expanded_conv_6/depthwise/BatchNorm", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_12", "registered_name": "TFOpLambda"} |
layer118_re_lu_17 | | default: {"build_config": {"input_shape": [null, 14, 14, 120]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_17", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_12", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_17", "registered_name": null} |
layer119_tf.math.multiply_12 | | default: {"build_config": {"input_shape": [null, 14, 14, 120]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_12", "trainable": false}, "inbound_nodes": [["re_lu_17", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_12", "registered_name": "TFOpLambda"} |
layer120_multiply_8 | | default: {"build_config": {"input_shape": [[null, 14, 14, 120], [null, 14, 14, 120]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_8", "trainable": false}, "inbound_nodes": [[["expanded_conv_6/depthwise/BatchNorm", 0, 0, {}], ["tf.math.multiply_12", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_8", "registered_name": null} |
layer121_expanded_conv_6_squeeze_excite_AvgPool | | default: {"build_config": {"input_shape": [null, 14, 14, 120]}, "class_name": "GlobalAveragePooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "keepdims": true, "name": "expanded_conv_6/squeeze_excite/AvgPool", "trainable": false}, "inbound_nodes": [[["multiply_8", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_6/squeeze_excite/AvgPool", "registered_name": null} |
layer122_expanded_conv_6_squeeze_excite_Conv | | default: {"build_config": {"input_shape": [null, 1, 1, 120]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_6/squeeze_excite/AvgPool", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_6/squeeze_excite/Conv", "registered_name": null} |
layer123_expanded_conv_6_squeeze_excite_Relu | | default: {"build_config": {"input_shape": [null, 1, 1, 32]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "expanded_conv_6/squeeze_excite/Relu", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_6/squeeze_excite/Conv", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_6/squeeze_excite/Relu", "registered_name": null} |
layer124_expanded_conv_6_squeeze_excite_Conv_1 | | default: {"build_config": {"input_shape": [null, 1, 1, 32]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_6/squeeze_excite/Relu", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_6/squeeze_excite/Conv_1", "registered_name": null} |
layer125_tf.__operators__.add_13 | | default: {"build_config": {"input_shape": [null, 1, 1, 120]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_13", "trainable": false}, "inbound_nodes": [["expanded_conv_6/squeeze_excite/Conv_1", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_13", "registered_name": "TFOpLambda"} |
layer126_re_lu_18 | | default: {"build_config": {"input_shape": [null, 1, 1, 120]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_18", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_13", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_18", "registered_name": null} |
layer127_tf.math.multiply_13 | | default: {"build_config": {"input_shape": [null, 1, 1, 120]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_13", "trainable": false}, "inbound_nodes": [["re_lu_18", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_13", "registered_name": "TFOpLambda"} |
layer128_expanded_conv_6_squeeze_excite_Mul | | default: {"build_config": {"input_shape": [[null, 14, 14, 120], [null, 1, 1, 120]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "expanded_conv_6/squeeze_excite/Mul", "trainable": false}, "inbound_nodes": [[["multiply_8", 0, 0, {}], ["tf.math.multiply_13", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_6/squeeze_excite/Mul", "registered_name": null} |
layer129_expanded_conv_6_project | | default: {"build_config": {"input_shape": [null, 14, 14, 120]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_6/squeeze_excite/Mul", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_6/project", "registered_name": null} |
layer130_expanded_conv_6_project_BatchNorm | | default: {"build_config": {"input_shape": [null, 14, 14, 48]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_6/project", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_6/project/BatchNorm", "registered_name": null} |
layer131_expanded_conv_7_expand | | default: {"build_config": {"input_shape": [null, 14, 14, 48]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_6/project/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_7/expand", "registered_name": null} |
layer132_expanded_conv_7_expand_BatchNorm | | default: {"build_config": {"input_shape": [null, 14, 14, 144]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_7/expand", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_7/expand/BatchNorm", "registered_name": null} |
layer133_tf.__operators__.add_14 | | default: {"build_config": {"input_shape": [null, 14, 14, 144]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_14", "trainable": false}, "inbound_nodes": [["expanded_conv_7/expand/BatchNorm", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_14", "registered_name": "TFOpLambda"} |
layer134_re_lu_19 | | default: {"build_config": {"input_shape": [null, 14, 14, 144]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_19", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_14", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_19", "registered_name": null} |
layer135_tf.math.multiply_14 | | default: {"build_config": {"input_shape": [null, 14, 14, 144]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_14", "trainable": false}, "inbound_nodes": [["re_lu_19", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_14", "registered_name": "TFOpLambda"} |
layer136_multiply_9 | | default: {"build_config": {"input_shape": [[null, 14, 14, 144], [null, 14, 14, 144]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_9", "trainable": false}, "inbound_nodes": [[["expanded_conv_7/expand/BatchNorm", 0, 0, {}], ["tf.math.multiply_14", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_9", "registered_name": null} |
layer137_expanded_conv_7_depthwise | | default: {"build_config": {"input_shape": [null, 14, 14, 144]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["multiply_9", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_7/depthwise", "registered_name": null} |
layer138_expanded_conv_7_depthwise_BatchNorm | | default: {"build_config": {"input_shape": [null, 14, 14, 144]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_7/depthwise", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_7/depthwise/BatchNorm", "registered_name": null} |
layer139_tf.__operators__.add_15 | | default: {"build_config": {"input_shape": [null, 14, 14, 144]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_15", "trainable": false}, "inbound_nodes": [["expanded_conv_7/depthwise/BatchNorm", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_15", "registered_name": "TFOpLambda"} |
layer140_re_lu_20 | | default: {"build_config": {"input_shape": [null, 14, 14, 144]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_20", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_15", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_20", "registered_name": null} |
layer141_tf.math.multiply_15 | | default: {"build_config": {"input_shape": [null, 14, 14, 144]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_15", "trainable": false}, "inbound_nodes": [["re_lu_20", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_15", "registered_name": "TFOpLambda"} |
layer142_multiply_10 | | default: {"build_config": {"input_shape": [[null, 14, 14, 144], [null, 14, 14, 144]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_10", "trainable": false}, "inbound_nodes": [[["expanded_conv_7/depthwise/BatchNorm", 0, 0, {}], ["tf.math.multiply_15", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_10", "registered_name": null} |
layer143_expanded_conv_7_squeeze_excite_AvgPool | | default: {"build_config": {"input_shape": [null, 14, 14, 144]}, "class_name": "GlobalAveragePooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "keepdims": true, "name": "expanded_conv_7/squeeze_excite/AvgPool", "trainable": false}, "inbound_nodes": [[["multiply_10", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_7/squeeze_excite/AvgPool", "registered_name": null} |
layer144_expanded_conv_7_squeeze_excite_Conv | | default: {"build_config": {"input_shape": [null, 1, 1, 144]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_7/squeeze_excite/AvgPool", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_7/squeeze_excite/Conv", "registered_name": null} |
layer145_expanded_conv_7_squeeze_excite_Relu | | default: {"build_config": {"input_shape": [null, 1, 1, 40]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "expanded_conv_7/squeeze_excite/Relu", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_7/squeeze_excite/Conv", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_7/squeeze_excite/Relu", "registered_name": null} |
layer146_expanded_conv_7_squeeze_excite_Conv_1 | | default: {"build_config": {"input_shape": [null, 1, 1, 40]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_7/squeeze_excite/Relu", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_7/squeeze_excite/Conv_1", "registered_name": null} |
layer147_tf.__operators__.add_16 | | default: {"build_config": {"input_shape": [null, 1, 1, 144]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_16", "trainable": false}, "inbound_nodes": [["expanded_conv_7/squeeze_excite/Conv_1", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_16", "registered_name": "TFOpLambda"} |
layer148_re_lu_21 | | default: {"build_config": {"input_shape": [null, 1, 1, 144]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_21", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_16", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_21", "registered_name": null} |
layer149_tf.math.multiply_16 | | default: {"build_config": {"input_shape": [null, 1, 1, 144]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_16", "trainable": false}, "inbound_nodes": [["re_lu_21", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_16", "registered_name": "TFOpLambda"} |
layer150_expanded_conv_7_squeeze_excite_Mul | | default: {"build_config": {"input_shape": [[null, 14, 14, 144], [null, 1, 1, 144]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "expanded_conv_7/squeeze_excite/Mul", "trainable": false}, "inbound_nodes": [[["multiply_10", 0, 0, {}], ["tf.math.multiply_16", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_7/squeeze_excite/Mul", "registered_name": null} |
layer151_expanded_conv_7_project | | default: {"build_config": {"input_shape": [null, 14, 14, 144]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_7/squeeze_excite/Mul", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_7/project", "registered_name": null} |
layer152_expanded_conv_7_project_BatchNorm | | default: {"build_config": {"input_shape": [null, 14, 14, 48]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_7/project", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_7/project/BatchNorm", "registered_name": null} |
layer153_expanded_conv_7_Add | | default: {"build_config": {"input_shape": [[null, 14, 14, 48], [null, 14, 14, 48]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "expanded_conv_7/Add", "trainable": false}, "inbound_nodes": [[["expanded_conv_6/project/BatchNorm", 0, 0, {}], ["expanded_conv_7/project/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_7/Add", "registered_name": null} |
layer154_expanded_conv_8_expand | | default: {"build_config": {"input_shape": [null, 14, 14, 48]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_7/Add", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_8/expand", "registered_name": null} |
layer155_expanded_conv_8_expand_BatchNorm | | default: {"build_config": {"input_shape": [null, 14, 14, 288]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_8/expand", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_8/expand/BatchNorm", "registered_name": null} |
layer156_tf.__operators__.add_17 | | default: {"build_config": {"input_shape": [null, 14, 14, 288]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_17", "trainable": false}, "inbound_nodes": [["expanded_conv_8/expand/BatchNorm", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_17", "registered_name": "TFOpLambda"} |
layer157_re_lu_22 | | default: {"build_config": {"input_shape": [null, 14, 14, 288]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_22", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_17", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_22", "registered_name": null} |
layer158_tf.math.multiply_17 | | default: {"build_config": {"input_shape": [null, 14, 14, 288]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_17", "trainable": false}, "inbound_nodes": [["re_lu_22", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_17", "registered_name": "TFOpLambda"} |
layer159_multiply_11 | | default: {"build_config": {"input_shape": [[null, 14, 14, 288], [null, 14, 14, 288]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_11", "trainable": false}, "inbound_nodes": [[["expanded_conv_8/expand/BatchNorm", 0, 0, {}], ["tf.math.multiply_17", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_11", "registered_name": null} |
layer160_expanded_conv_8_depthwise_pad | | default: {"build_config": {"input_shape": [null, 14, 14, 288]}, "class_name": "ZeroPadding2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "expanded_conv_8/depthwise/pad", "padding": [[1, 2], [1, 2]], "trainable": false}, "inbound_nodes": [[["multiply_11", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_8/depthwise/pad", "registered_name": null} |
layer161_expanded_conv_8_depthwise | | default: {"build_config": {"input_shape": [null, 17, 17, 288]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_8/depthwise/pad", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_8/depthwise", "registered_name": null} |
layer162_expanded_conv_8_depthwise_BatchNorm | | default: {"build_config": {"input_shape": [null, 7, 7, 288]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_8/depthwise", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_8/depthwise/BatchNorm", "registered_name": null} |
layer163_tf.__operators__.add_18 | | default: {"build_config": {"input_shape": [null, 7, 7, 288]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_18", "trainable": false}, "inbound_nodes": [["expanded_conv_8/depthwise/BatchNorm", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_18", "registered_name": "TFOpLambda"} |
layer164_re_lu_23 | | default: {"build_config": {"input_shape": [null, 7, 7, 288]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_23", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_18", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_23", "registered_name": null} |
layer165_tf.math.multiply_18 | | default: {"build_config": {"input_shape": [null, 7, 7, 288]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_18", "trainable": false}, "inbound_nodes": [["re_lu_23", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_18", "registered_name": "TFOpLambda"} |
layer166_multiply_12 | | default: {"build_config": {"input_shape": [[null, 7, 7, 288], [null, 7, 7, 288]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_12", "trainable": false}, "inbound_nodes": [[["expanded_conv_8/depthwise/BatchNorm", 0, 0, {}], ["tf.math.multiply_18", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_12", "registered_name": null} |
layer167_expanded_conv_8_squeeze_excite_AvgPool | | default: {"build_config": {"input_shape": [null, 7, 7, 288]}, "class_name": "GlobalAveragePooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "keepdims": true, "name": "expanded_conv_8/squeeze_excite/AvgPool", "trainable": false}, "inbound_nodes": [[["multiply_12", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_8/squeeze_excite/AvgPool", "registered_name": null} |
layer168_expanded_conv_8_squeeze_excite_Conv | | default: {"build_config": {"input_shape": [null, 1, 1, 288]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_8/squeeze_excite/AvgPool", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_8/squeeze_excite/Conv", "registered_name": null} |
layer169_expanded_conv_8_squeeze_excite_Relu | | default: {"build_config": {"input_shape": [null, 1, 1, 72]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "expanded_conv_8/squeeze_excite/Relu", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_8/squeeze_excite/Conv", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_8/squeeze_excite/Relu", "registered_name": null} |
layer170_expanded_conv_8_squeeze_excite_Conv_1 | | default: {"build_config": {"input_shape": [null, 1, 1, 72]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_8/squeeze_excite/Relu", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_8/squeeze_excite/Conv_1", "registered_name": null} |
layer171_tf.__operators__.add_19 | | default: {"build_config": {"input_shape": [null, 1, 1, 288]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_19", "trainable": false}, "inbound_nodes": [["expanded_conv_8/squeeze_excite/Conv_1", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_19", "registered_name": "TFOpLambda"} |
layer172_re_lu_24 | | default: {"build_config": {"input_shape": [null, 1, 1, 288]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_24", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_19", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_24", "registered_name": null} |
layer173_tf.math.multiply_19 | | default: {"build_config": {"input_shape": [null, 1, 1, 288]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_19", "trainable": false}, "inbound_nodes": [["re_lu_24", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_19", "registered_name": "TFOpLambda"} |
layer174_expanded_conv_8_squeeze_excite_Mul | | default: {"build_config": {"input_shape": [[null, 7, 7, 288], [null, 1, 1, 288]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "expanded_conv_8/squeeze_excite/Mul", "trainable": false}, "inbound_nodes": [[["multiply_12", 0, 0, {}], ["tf.math.multiply_19", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_8/squeeze_excite/Mul", "registered_name": null} |
layer175_expanded_conv_8_project | | default: {"build_config": {"input_shape": [null, 7, 7, 288]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_8/squeeze_excite/Mul", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_8/project", "registered_name": null} |
layer176_expanded_conv_8_project_BatchNorm | | default: {"build_config": {"input_shape": [null, 7, 7, 96]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_8/project", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_8/project/BatchNorm", "registered_name": null} |
layer177_expanded_conv_9_expand | | default: {"build_config": {"input_shape": [null, 7, 7, 96]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_8/project/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_9/expand", "registered_name": null} |
layer178_expanded_conv_9_expand_BatchNorm | | default: {"build_config": {"input_shape": [null, 7, 7, 576]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_9/expand", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_9/expand/BatchNorm", "registered_name": null} |
layer179_tf.__operators__.add_20 | | default: {"build_config": {"input_shape": [null, 7, 7, 576]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_20", "trainable": false}, "inbound_nodes": [["expanded_conv_9/expand/BatchNorm", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_20", "registered_name": "TFOpLambda"} |
layer180_re_lu_25 | | default: {"build_config": {"input_shape": [null, 7, 7, 576]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_25", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_20", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_25", "registered_name": null} |
layer181_tf.math.multiply_20 | | default: {"build_config": {"input_shape": [null, 7, 7, 576]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_20", "trainable": false}, "inbound_nodes": [["re_lu_25", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_20", "registered_name": "TFOpLambda"} |
layer182_multiply_13 | | default: {"build_config": {"input_shape": [[null, 7, 7, 576], [null, 7, 7, 576]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_13", "trainable": false}, "inbound_nodes": [[["expanded_conv_9/expand/BatchNorm", 0, 0, {}], ["tf.math.multiply_20", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_13", "registered_name": null} |
layer183_expanded_conv_9_depthwise | | default: {"build_config": {"input_shape": [null, 7, 7, 576]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["multiply_13", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_9/depthwise", "registered_name": null} |
layer184_expanded_conv_9_depthwise_BatchNorm | | default: {"build_config": {"input_shape": [null, 7, 7, 576]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_9/depthwise", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_9/depthwise/BatchNorm", "registered_name": null} |
layer185_tf.__operators__.add_21 | | default: {"build_config": {"input_shape": [null, 7, 7, 576]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_21", "trainable": false}, "inbound_nodes": [["expanded_conv_9/depthwise/BatchNorm", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_21", "registered_name": "TFOpLambda"} |
layer186_re_lu_26 | | default: {"build_config": {"input_shape": [null, 7, 7, 576]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_26", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_21", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_26", "registered_name": null} |
layer187_tf.math.multiply_21 | | default: {"build_config": {"input_shape": [null, 7, 7, 576]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_21", "trainable": false}, "inbound_nodes": [["re_lu_26", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_21", "registered_name": "TFOpLambda"} |
layer188_multiply_14 | | default: {"build_config": {"input_shape": [[null, 7, 7, 576], [null, 7, 7, 576]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_14", "trainable": false}, "inbound_nodes": [[["expanded_conv_9/depthwise/BatchNorm", 0, 0, {}], ["tf.math.multiply_21", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_14", "registered_name": null} |
layer189_expanded_conv_9_squeeze_excite_AvgPool | | default: {"build_config": {"input_shape": [null, 7, 7, 576]}, "class_name": "GlobalAveragePooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "keepdims": true, "name": "expanded_conv_9/squeeze_excite/AvgPool", "trainable": false}, "inbound_nodes": [[["multiply_14", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_9/squeeze_excite/AvgPool", "registered_name": null} |
layer190_expanded_conv_9_squeeze_excite_Conv | | default: {"build_config": {"input_shape": [null, 1, 1, 576]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_9/squeeze_excite/AvgPool", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_9/squeeze_excite/Conv", "registered_name": null} |
layer191_expanded_conv_9_squeeze_excite_Relu | | default: {"build_config": {"input_shape": [null, 1, 1, 144]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "expanded_conv_9/squeeze_excite/Relu", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_9/squeeze_excite/Conv", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_9/squeeze_excite/Relu", "registered_name": null} |
layer192_expanded_conv_9_squeeze_excite_Conv_1 | | default: {"build_config": {"input_shape": [null, 1, 1, 144]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_9/squeeze_excite/Relu", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_9/squeeze_excite/Conv_1", "registered_name": null} |
layer193_tf.__operators__.add_22 | | default: {"build_config": {"input_shape": [null, 1, 1, 576]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_22", "trainable": false}, "inbound_nodes": [["expanded_conv_9/squeeze_excite/Conv_1", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_22", "registered_name": "TFOpLambda"} |
layer194_re_lu_27 | | default: {"build_config": {"input_shape": [null, 1, 1, 576]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_27", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_22", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_27", "registered_name": null} |
layer195_tf.math.multiply_22 | | default: {"build_config": {"input_shape": [null, 1, 1, 576]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_22", "trainable": false}, "inbound_nodes": [["re_lu_27", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_22", "registered_name": "TFOpLambda"} |
layer196_expanded_conv_9_squeeze_excite_Mul | | default: {"build_config": {"input_shape": [[null, 7, 7, 576], [null, 1, 1, 576]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "expanded_conv_9/squeeze_excite/Mul", "trainable": false}, "inbound_nodes": [[["multiply_14", 0, 0, {}], ["tf.math.multiply_22", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_9/squeeze_excite/Mul", "registered_name": null} |
layer197_expanded_conv_9_project | | default: {"build_config": {"input_shape": [null, 7, 7, 576]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_9/squeeze_excite/Mul", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_9/project", "registered_name": null} |
layer198_expanded_conv_9_project_BatchNorm | | default: {"build_config": {"input_shape": [null, 7, 7, 96]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_9/project", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_9/project/BatchNorm", "registered_name": null} |
layer199_expanded_conv_9_Add | | default: {"build_config": {"input_shape": [[null, 7, 7, 96], [null, 7, 7, 96]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "expanded_conv_9/Add", "trainable": false}, "inbound_nodes": [[["expanded_conv_8/project/BatchNorm", 0, 0, {}], ["expanded_conv_9/project/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_9/Add", "registered_name": null} |
layer200_expanded_conv_10_expand | | default: {"build_config": {"input_shape": [null, 7, 7, 96]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_9/Add", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_10/expand", "registered_name": null} |
layer201_expanded_conv_10_expand_BatchNorm | | default: {"build_config": {"input_shape": [null, 7, 7, 576]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_10/expand", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_10/expand/BatchNorm", "registered_name": null} |
layer202_tf.__operators__.add_23 | | default: {"build_config": {"input_shape": [null, 7, 7, 576]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_23", "trainable": false}, "inbound_nodes": [["expanded_conv_10/expand/BatchNorm", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_23", "registered_name": "TFOpLambda"} |
layer203_re_lu_28 | | default: {"build_config": {"input_shape": [null, 7, 7, 576]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_28", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_23", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_28", "registered_name": null} |
layer204_tf.math.multiply_23 | | default: {"build_config": {"input_shape": [null, 7, 7, 576]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_23", "trainable": false}, "inbound_nodes": [["re_lu_28", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_23", "registered_name": "TFOpLambda"} |
layer205_multiply_15 | | default: {"build_config": {"input_shape": [[null, 7, 7, 576], [null, 7, 7, 576]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_15", "trainable": false}, "inbound_nodes": [[["expanded_conv_10/expand/BatchNorm", 0, 0, {}], ["tf.math.multiply_23", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_15", "registered_name": null} |
layer206_expanded_conv_10_depthwise | | default: {"build_config": {"input_shape": [null, 7, 7, 576]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["multiply_15", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_10/depthwise", "registered_name": null} |
layer207_expanded_conv_10_depthwise_BatchNorm | | default: {"build_config": {"input_shape": [null, 7, 7, 576]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_10/depthwise", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_10/depthwise/BatchNorm", "registered_name": null} |
layer208_tf.__operators__.add_24 | | default: {"build_config": {"input_shape": [null, 7, 7, 576]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_24", "trainable": false}, "inbound_nodes": [["expanded_conv_10/depthwise/BatchNorm", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_24", "registered_name": "TFOpLambda"} |
layer209_re_lu_29 | | default: {"build_config": {"input_shape": [null, 7, 7, 576]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_29", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_24", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_29", "registered_name": null} |
layer210_tf.math.multiply_24 | | default: {"build_config": {"input_shape": [null, 7, 7, 576]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_24", "trainable": false}, "inbound_nodes": [["re_lu_29", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_24", "registered_name": "TFOpLambda"} |
layer211_multiply_16 | | default: {"build_config": {"input_shape": [[null, 7, 7, 576], [null, 7, 7, 576]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_16", "trainable": false}, "inbound_nodes": [[["expanded_conv_10/depthwise/BatchNorm", 0, 0, {}], ["tf.math.multiply_24", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_16", "registered_name": null} |
layer212_expanded_conv_10_squeeze_excite_AvgPool | | default: {"build_config": {"input_shape": [null, 7, 7, 576]}, "class_name": "GlobalAveragePooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "keepdims": true, "name": "expanded_conv_10/squeeze_excite/AvgPool", "trainable": false}, "inbound_nodes": [[["multiply_16", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_10/squeeze_excite/AvgPool", "registered_name": null} |
layer213_expanded_conv_10_squeeze_excite_Conv | | default: {"build_config": {"input_shape": [null, 1, 1, 576]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_10/squeeze_excite/AvgPool", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_10/squeeze_excite/Conv", "registered_name": null} |
layer214_expanded_conv_10_squeeze_excite_Relu | | default: {"build_config": {"input_shape": [null, 1, 1, 144]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "expanded_conv_10/squeeze_excite/Relu", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_10/squeeze_excite/Conv", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_10/squeeze_excite/Relu", "registered_name": null} |
layer215_expanded_conv_10_squeeze_excite_Conv_1 | | default: {"build_config": {"input_shape": [null, 1, 1, 144]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_10/squeeze_excite/Relu", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_10/squeeze_excite/Conv_1", "registered_name": null} |
layer216_tf.__operators__.add_25 | | default: {"build_config": {"input_shape": [null, 1, 1, 576]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_25", "trainable": false}, "inbound_nodes": [["expanded_conv_10/squeeze_excite/Conv_1", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_25", "registered_name": "TFOpLambda"} |
layer217_re_lu_30 | | default: {"build_config": {"input_shape": [null, 1, 1, 576]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_30", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_25", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_30", "registered_name": null} |
layer218_tf.math.multiply_25 | | default: {"build_config": {"input_shape": [null, 1, 1, 576]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_25", "trainable": false}, "inbound_nodes": [["re_lu_30", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_25", "registered_name": "TFOpLambda"} |
layer219_expanded_conv_10_squeeze_excite_Mul | | default: {"build_config": {"input_shape": [[null, 7, 7, 576], [null, 1, 1, 576]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "expanded_conv_10/squeeze_excite/Mul", "trainable": false}, "inbound_nodes": [[["multiply_16", 0, 0, {}], ["tf.math.multiply_25", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_10/squeeze_excite/Mul", "registered_name": null} |
layer220_expanded_conv_10_project | | default: {"build_config": {"input_shape": [null, 7, 7, 576]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_10/squeeze_excite/Mul", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_10/project", "registered_name": null} |
layer221_expanded_conv_10_project_BatchNorm | | default: {"build_config": {"input_shape": [null, 7, 7, 96]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_10/project", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_10/project/BatchNorm", "registered_name": null} |
layer222_expanded_conv_10_Add | | default: {"build_config": {"input_shape": [[null, 7, 7, 96], [null, 7, 7, 96]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "expanded_conv_10/Add", "trainable": false}, "inbound_nodes": [[["expanded_conv_9/Add", 0, 0, {}], ["expanded_conv_10/project/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_10/Add", "registered_name": null} |
layer223_Conv_1 | | default: {"build_config": {"input_shape": [null, 7, 7, 96]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_10/Add", 0, 0, {}]]], "module": "keras.layers", "name": "Conv_1", "registered_name": null} |
layer224_Conv_1_BatchNorm | | default: {"build_config": {"input_shape": [null, 7, 7, 576]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["Conv_1", 0, 0, {}]]], "module": "keras.layers", "name": "Conv_1/BatchNorm", "registered_name": null} |
layer225_tf.__operators__.add_26 | | default: {"build_config": {"input_shape": [null, 7, 7, 576]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_26", "trainable": false}, "inbound_nodes": [["Conv_1/BatchNorm", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_26", "registered_name": "TFOpLambda"} |
layer226_re_lu_31 | | default: {"build_config": {"input_shape": [null, 7, 7, 576]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_31", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_26", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_31", "registered_name": null} |
layer227_tf.math.multiply_26 | | default: {"build_config": {"input_shape": [null, 7, 7, 576]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_26", "trainable": false}, "inbound_nodes": [["re_lu_31", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_26", "registered_name": "TFOpLambda"} |
layer228_multiply_17 | | default: {"build_config": {"input_shape": [[null, 7, 7, 576], [null, 7, 7, 576]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_17", "trainable": false}, "inbound_nodes": [[["Conv_1/BatchNorm", 0, 0, {}], ["tf.math.multiply_26", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_17", "registered_name": null} |
layer229_global_average_pooling2d | | default: {"build_config": {"input_shape": [null, 7, 7, 576]}, "class_name": "GlobalAveragePooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "keepdims": false, "name": "global_average_pooling2d", "trainable": true}, "inbound_nodes": [[["multiply_17", 0, 0, {}]]], "module": "keras.layers", "name": "global_average_pooling2d", "registered_name": null} |
layer230_dense | | default: {"build_config": {"input_shape": [null, 576]}, "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": 128, "use_bias": true}, "inbound_nodes": [[["global_average_pooling2d", 0, 0, {}]]], "module": "keras.layers", "name": "dense", "registered_name": null} |
layer231_dense_1 | | default: {"build_config": {"input_shape": [null, 128]}, "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}, "inbound_nodes": [[["dense", 0, 0, {}]]], "module": "keras.layers", "name": "dense_1", "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": false, "learning_rate": 0.0010000000474974513, "name": "Adam", "use_ema": false, "weight_decay": null}}} |
tensorflow_version | | default: "2.15.1" |