backend | | default: "tensorflow" |
class_name | | default: "Functional" |
config | | default: {"input_layers": [["input_7", 0, 0]], "name": "model_5", "output_layers": [["dense_25", 0, 0]], "trainable": true} |
layer000_input_7 | | default: {"class_name": "InputLayer", "config": {"batch_input_shape": [null, 224, 224, 3], "dtype": "float32", "name": "input_7", "ragged": false, "sparse": false}, "inbound_nodes": [], "module": "keras.layers", "name": "input_7", "registered_name": null} |
layer001_rescaling_5 | | default: {"build_config": {"input_shape": [null, 224, 224, 3]}, "class_name": "Rescaling", "config": {"dtype": "float32", "name": "rescaling_5", "offset": -1.0, "scale": 0.00784313725490196, "trainable": false}, "inbound_nodes": [[["input_7", 0, 0, {}]]], "module": "keras.layers", "name": "rescaling_5", "registered_name": null} |
layer002_Conv | | default: {"build_config": {"input_shape": [null, 224, 224, 3]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["rescaling_5", 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_140 | | default: {"build_config": {"input_shape": [null, 112, 112, 16]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_140", "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_140", "registered_name": "TFOpLambda"} |
layer005_re_lu_195 | | default: {"build_config": {"input_shape": [null, 112, 112, 16]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_195", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_140", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_195", "registered_name": null} |
layer006_tf.math.multiply_140 | | default: {"build_config": {"input_shape": [null, 112, 112, 16]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_140", "trainable": false}, "inbound_nodes": [["re_lu_195", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_140", "registered_name": "TFOpLambda"} |
layer007_multiply_100 | | default: {"build_config": {"input_shape": [[null, 112, 112, 16], [null, 112, 112, 16]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_100", "trainable": false}, "inbound_nodes": [[["Conv/BatchNorm", 0, 0, {}], ["tf.math.multiply_140", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_100", "registered_name": null} |
layer008_expanded_conv_depthwise | | default: {"build_config": {"input_shape": [null, 112, 112, 16]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["multiply_100", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv/depthwise", "registered_name": null} |
layer009_expanded_conv_depthwise_BatchNorm | | default: {"build_config": {"input_shape": [null, 112, 112, 16]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv/depthwise", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv/depthwise/BatchNorm", "registered_name": null} |
layer010_re_lu_196 | | default: {"build_config": {"input_shape": [null, 112, 112, 16]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "re_lu_196", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv/depthwise/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_196", "registered_name": null} |
layer011_expanded_conv_project | | default: {"build_config": {"input_shape": [null, 112, 112, 16]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["re_lu_196", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv/project", "registered_name": null} |
layer012_expanded_conv_project_BatchNorm | | default: {"build_config": {"input_shape": [null, 112, 112, 16]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv/project", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv/project/BatchNorm", "registered_name": null} |
layer013_expanded_conv_Add | | default: {"build_config": {"input_shape": [[null, 112, 112, 16], [null, 112, 112, 16]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "expanded_conv/Add", "trainable": false}, "inbound_nodes": [[["multiply_100", 0, 0, {}], ["expanded_conv/project/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv/Add", "registered_name": null} |
layer014_expanded_conv_1_expand | | default: {"build_config": {"input_shape": [null, 112, 112, 16]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv/Add", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_1/expand", "registered_name": null} |
layer015_expanded_conv_1_expand_BatchNorm | | default: {"build_config": {"input_shape": [null, 112, 112, 64]}, "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} |
layer016_re_lu_197 | | default: {"build_config": {"input_shape": [null, 112, 112, 64]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "re_lu_197", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_1/expand/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_197", "registered_name": null} |
layer017_expanded_conv_1_depthwise_pad | | default: {"build_config": {"input_shape": [null, 112, 112, 64]}, "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_197", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_1/depthwise/pad", "registered_name": null} |
layer018_expanded_conv_1_depthwise | | default: {"build_config": {"input_shape": [null, 113, 113, 64]}, "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} |
layer019_expanded_conv_1_depthwise_BatchNorm | | default: {"build_config": {"input_shape": [null, 56, 56, 64]}, "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} |
layer020_re_lu_198 | | default: {"build_config": {"input_shape": [null, 56, 56, 64]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "re_lu_198", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_1/depthwise/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_198", "registered_name": null} |
layer021_expanded_conv_1_project | | default: {"build_config": {"input_shape": [null, 56, 56, 64]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["re_lu_198", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_1/project", "registered_name": null} |
layer022_expanded_conv_1_project_BatchNorm | | default: {"build_config": {"input_shape": [null, 56, 56, 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} |
layer023_expanded_conv_2_expand | | default: {"build_config": {"input_shape": [null, 56, 56, 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} |
layer024_expanded_conv_2_expand_BatchNorm | | default: {"build_config": {"input_shape": [null, 56, 56, 72]}, "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} |
layer025_re_lu_199 | | default: {"build_config": {"input_shape": [null, 56, 56, 72]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "re_lu_199", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_2/expand/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_199", "registered_name": null} |
layer026_expanded_conv_2_depthwise | | default: {"build_config": {"input_shape": [null, 56, 56, 72]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["re_lu_199", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_2/depthwise", "registered_name": null} |
layer027_expanded_conv_2_depthwise_BatchNorm | | default: {"build_config": {"input_shape": [null, 56, 56, 72]}, "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} |
layer028_re_lu_200 | | default: {"build_config": {"input_shape": [null, 56, 56, 72]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "re_lu_200", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_2/depthwise/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_200", "registered_name": null} |
layer029_expanded_conv_2_project | | default: {"build_config": {"input_shape": [null, 56, 56, 72]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["re_lu_200", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_2/project", "registered_name": null} |
layer030_expanded_conv_2_project_BatchNorm | | default: {"build_config": {"input_shape": [null, 56, 56, 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} |
layer031_expanded_conv_2_Add | | default: {"build_config": {"input_shape": [[null, 56, 56, 24], [null, 56, 56, 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} |
layer032_expanded_conv_3_expand | | default: {"build_config": {"input_shape": [null, 56, 56, 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} |
layer033_expanded_conv_3_expand_BatchNorm | | default: {"build_config": {"input_shape": [null, 56, 56, 72]}, "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} |
layer034_re_lu_201 | | default: {"build_config": {"input_shape": [null, 56, 56, 72]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "re_lu_201", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_3/expand/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_201", "registered_name": null} |
layer035_expanded_conv_3_depthwise_pad | | default: {"build_config": {"input_shape": [null, 56, 56, 72]}, "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": [[["re_lu_201", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_3/depthwise/pad", "registered_name": null} |
layer036_expanded_conv_3_depthwise | | default: {"build_config": {"input_shape": [null, 59, 59, 72]}, "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} |
layer037_expanded_conv_3_depthwise_BatchNorm | | default: {"build_config": {"input_shape": [null, 28, 28, 72]}, "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} |
layer038_re_lu_202 | | default: {"build_config": {"input_shape": [null, 28, 28, 72]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "re_lu_202", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_3/depthwise/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_202", "registered_name": null} |
layer039_expanded_conv_3_squeeze_excite_AvgPool | | default: {"build_config": {"input_shape": [null, 28, 28, 72]}, "class_name": "GlobalAveragePooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "keepdims": true, "name": "expanded_conv_3/squeeze_excite/AvgPool", "trainable": false}, "inbound_nodes": [[["re_lu_202", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_3/squeeze_excite/AvgPool", "registered_name": null} |
layer040_expanded_conv_3_squeeze_excite_Conv | | default: {"build_config": {"input_shape": [null, 1, 1, 72]}, "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} |
layer041_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} |
layer042_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} |
layer043_tf.__operators__.add_141 | | default: {"build_config": {"input_shape": [null, 1, 1, 72]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_141", "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_141", "registered_name": "TFOpLambda"} |
layer044_re_lu_203 | | default: {"build_config": {"input_shape": [null, 1, 1, 72]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_203", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_141", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_203", "registered_name": null} |
layer045_tf.math.multiply_141 | | default: {"build_config": {"input_shape": [null, 1, 1, 72]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_141", "trainable": false}, "inbound_nodes": [["re_lu_203", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_141", "registered_name": "TFOpLambda"} |
layer046_expanded_conv_3_squeeze_excite_Mul | | default: {"build_config": {"input_shape": [[null, 28, 28, 72], [null, 1, 1, 72]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "expanded_conv_3/squeeze_excite/Mul", "trainable": false}, "inbound_nodes": [[["re_lu_202", 0, 0, {}], ["tf.math.multiply_141", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_3/squeeze_excite/Mul", "registered_name": null} |
layer047_expanded_conv_3_project | | default: {"build_config": {"input_shape": [null, 28, 28, 72]}, "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} |
layer048_expanded_conv_3_project_BatchNorm | | default: {"build_config": {"input_shape": [null, 28, 28, 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} |
layer049_expanded_conv_4_expand | | default: {"build_config": {"input_shape": [null, 28, 28, 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} |
layer050_expanded_conv_4_expand_BatchNorm | | default: {"build_config": {"input_shape": [null, 28, 28, 120]}, "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} |
layer051_re_lu_204 | | default: {"build_config": {"input_shape": [null, 28, 28, 120]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "re_lu_204", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_4/expand/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_204", "registered_name": null} |
layer052_expanded_conv_4_depthwise | | default: {"build_config": {"input_shape": [null, 28, 28, 120]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["re_lu_204", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_4/depthwise", "registered_name": null} |
layer053_expanded_conv_4_depthwise_BatchNorm | | default: {"build_config": {"input_shape": [null, 28, 28, 120]}, "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} |
layer054_re_lu_205 | | default: {"build_config": {"input_shape": [null, 28, 28, 120]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "re_lu_205", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_4/depthwise/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_205", "registered_name": null} |
layer055_expanded_conv_4_squeeze_excite_AvgPool | | default: {"build_config": {"input_shape": [null, 28, 28, 120]}, "class_name": "GlobalAveragePooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "keepdims": true, "name": "expanded_conv_4/squeeze_excite/AvgPool", "trainable": false}, "inbound_nodes": [[["re_lu_205", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_4/squeeze_excite/AvgPool", "registered_name": null} |
layer056_expanded_conv_4_squeeze_excite_Conv | | default: {"build_config": {"input_shape": [null, 1, 1, 120]}, "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} |
layer057_expanded_conv_4_squeeze_excite_Relu | | default: {"build_config": {"input_shape": [null, 1, 1, 32]}, "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} |
layer058_expanded_conv_4_squeeze_excite_Conv_1 | | default: {"build_config": {"input_shape": [null, 1, 1, 32]}, "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} |
layer059_tf.__operators__.add_142 | | default: {"build_config": {"input_shape": [null, 1, 1, 120]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_142", "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_142", "registered_name": "TFOpLambda"} |
layer060_re_lu_206 | | default: {"build_config": {"input_shape": [null, 1, 1, 120]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_206", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_142", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_206", "registered_name": null} |
layer061_tf.math.multiply_142 | | default: {"build_config": {"input_shape": [null, 1, 1, 120]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_142", "trainable": false}, "inbound_nodes": [["re_lu_206", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_142", "registered_name": "TFOpLambda"} |
layer062_expanded_conv_4_squeeze_excite_Mul | | default: {"build_config": {"input_shape": [[null, 28, 28, 120], [null, 1, 1, 120]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "expanded_conv_4/squeeze_excite/Mul", "trainable": false}, "inbound_nodes": [[["re_lu_205", 0, 0, {}], ["tf.math.multiply_142", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_4/squeeze_excite/Mul", "registered_name": null} |
layer063_expanded_conv_4_project | | default: {"build_config": {"input_shape": [null, 28, 28, 120]}, "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} |
layer064_expanded_conv_4_project_BatchNorm | | default: {"build_config": {"input_shape": [null, 28, 28, 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} |
layer065_expanded_conv_4_Add | | default: {"build_config": {"input_shape": [[null, 28, 28, 40], [null, 28, 28, 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} |
layer066_expanded_conv_5_expand | | default: {"build_config": {"input_shape": [null, 28, 28, 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} |
layer067_expanded_conv_5_expand_BatchNorm | | default: {"build_config": {"input_shape": [null, 28, 28, 120]}, "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} |
layer068_re_lu_207 | | default: {"build_config": {"input_shape": [null, 28, 28, 120]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "re_lu_207", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_5/expand/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_207", "registered_name": null} |
layer069_expanded_conv_5_depthwise | | default: {"build_config": {"input_shape": [null, 28, 28, 120]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["re_lu_207", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_5/depthwise", "registered_name": null} |
layer070_expanded_conv_5_depthwise_BatchNorm | | default: {"build_config": {"input_shape": [null, 28, 28, 120]}, "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} |
layer071_re_lu_208 | | default: {"build_config": {"input_shape": [null, 28, 28, 120]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "re_lu_208", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_5/depthwise/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_208", "registered_name": null} |
layer072_expanded_conv_5_squeeze_excite_AvgPool | | default: {"build_config": {"input_shape": [null, 28, 28, 120]}, "class_name": "GlobalAveragePooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "keepdims": true, "name": "expanded_conv_5/squeeze_excite/AvgPool", "trainable": false}, "inbound_nodes": [[["re_lu_208", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_5/squeeze_excite/AvgPool", "registered_name": null} |
layer073_expanded_conv_5_squeeze_excite_Conv | | default: {"build_config": {"input_shape": [null, 1, 1, 120]}, "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} |
layer074_expanded_conv_5_squeeze_excite_Relu | | default: {"build_config": {"input_shape": [null, 1, 1, 32]}, "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} |
layer075_expanded_conv_5_squeeze_excite_Conv_1 | | default: {"build_config": {"input_shape": [null, 1, 1, 32]}, "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} |
layer076_tf.__operators__.add_143 | | default: {"build_config": {"input_shape": [null, 1, 1, 120]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_143", "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_143", "registered_name": "TFOpLambda"} |
layer077_re_lu_209 | | default: {"build_config": {"input_shape": [null, 1, 1, 120]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_209", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_143", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_209", "registered_name": null} |
layer078_tf.math.multiply_143 | | default: {"build_config": {"input_shape": [null, 1, 1, 120]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_143", "trainable": false}, "inbound_nodes": [["re_lu_209", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_143", "registered_name": "TFOpLambda"} |
layer079_expanded_conv_5_squeeze_excite_Mul | | default: {"build_config": {"input_shape": [[null, 28, 28, 120], [null, 1, 1, 120]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "expanded_conv_5/squeeze_excite/Mul", "trainable": false}, "inbound_nodes": [[["re_lu_208", 0, 0, {}], ["tf.math.multiply_143", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_5/squeeze_excite/Mul", "registered_name": null} |
layer080_expanded_conv_5_project | | default: {"build_config": {"input_shape": [null, 28, 28, 120]}, "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} |
layer081_expanded_conv_5_project_BatchNorm | | default: {"build_config": {"input_shape": [null, 28, 28, 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} |
layer082_expanded_conv_5_Add | | default: {"build_config": {"input_shape": [[null, 28, 28, 40], [null, 28, 28, 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} |
layer083_expanded_conv_6_expand | | default: {"build_config": {"input_shape": [null, 28, 28, 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} |
layer084_expanded_conv_6_expand_BatchNorm | | default: {"build_config": {"input_shape": [null, 28, 28, 240]}, "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} |
layer085_tf.__operators__.add_144 | | default: {"build_config": {"input_shape": [null, 28, 28, 240]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_144", "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_144", "registered_name": "TFOpLambda"} |
layer086_re_lu_210 | | default: {"build_config": {"input_shape": [null, 28, 28, 240]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_210", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_144", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_210", "registered_name": null} |
layer087_tf.math.multiply_144 | | default: {"build_config": {"input_shape": [null, 28, 28, 240]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_144", "trainable": false}, "inbound_nodes": [["re_lu_210", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_144", "registered_name": "TFOpLambda"} |
layer088_multiply_101 | | default: {"build_config": {"input_shape": [[null, 28, 28, 240], [null, 28, 28, 240]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_101", "trainable": false}, "inbound_nodes": [[["expanded_conv_6/expand/BatchNorm", 0, 0, {}], ["tf.math.multiply_144", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_101", "registered_name": null} |
layer089_expanded_conv_6_depthwise_pad | | default: {"build_config": {"input_shape": [null, 28, 28, 240]}, "class_name": "ZeroPadding2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "expanded_conv_6/depthwise/pad", "padding": [[0, 1], [0, 1]], "trainable": false}, "inbound_nodes": [[["multiply_101", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_6/depthwise/pad", "registered_name": null} |
layer090_expanded_conv_6_depthwise | | default: {"build_config": {"input_shape": [null, 29, 29, 240]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_6/depthwise/pad", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_6/depthwise", "registered_name": null} |
layer091_expanded_conv_6_depthwise_BatchNorm | | default: {"build_config": {"input_shape": [null, 14, 14, 240]}, "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} |
layer092_tf.__operators__.add_145 | | default: {"build_config": {"input_shape": [null, 14, 14, 240]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_145", "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_145", "registered_name": "TFOpLambda"} |
layer093_re_lu_211 | | default: {"build_config": {"input_shape": [null, 14, 14, 240]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_211", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_145", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_211", "registered_name": null} |
layer094_tf.math.multiply_145 | | default: {"build_config": {"input_shape": [null, 14, 14, 240]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_145", "trainable": false}, "inbound_nodes": [["re_lu_211", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_145", "registered_name": "TFOpLambda"} |
layer095_multiply_102 | | default: {"build_config": {"input_shape": [[null, 14, 14, 240], [null, 14, 14, 240]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_102", "trainable": false}, "inbound_nodes": [[["expanded_conv_6/depthwise/BatchNorm", 0, 0, {}], ["tf.math.multiply_145", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_102", "registered_name": null} |
layer096_expanded_conv_6_project | | default: {"build_config": {"input_shape": [null, 14, 14, 240]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["multiply_102", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_6/project", "registered_name": null} |
layer097_expanded_conv_6_project_BatchNorm | | default: {"build_config": {"input_shape": [null, 14, 14, 80]}, "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} |
layer098_expanded_conv_7_expand | | default: {"build_config": {"input_shape": [null, 14, 14, 80]}, "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} |
layer099_expanded_conv_7_expand_BatchNorm | | default: {"build_config": {"input_shape": [null, 14, 14, 200]}, "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} |
layer100_tf.__operators__.add_146 | | default: {"build_config": {"input_shape": [null, 14, 14, 200]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_146", "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_146", "registered_name": "TFOpLambda"} |
layer101_re_lu_212 | | default: {"build_config": {"input_shape": [null, 14, 14, 200]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_212", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_146", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_212", "registered_name": null} |
layer102_tf.math.multiply_146 | | default: {"build_config": {"input_shape": [null, 14, 14, 200]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_146", "trainable": false}, "inbound_nodes": [["re_lu_212", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_146", "registered_name": "TFOpLambda"} |
layer103_multiply_103 | | default: {"build_config": {"input_shape": [[null, 14, 14, 200], [null, 14, 14, 200]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_103", "trainable": false}, "inbound_nodes": [[["expanded_conv_7/expand/BatchNorm", 0, 0, {}], ["tf.math.multiply_146", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_103", "registered_name": null} |
layer104_expanded_conv_7_depthwise | | default: {"build_config": {"input_shape": [null, 14, 14, 200]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["multiply_103", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_7/depthwise", "registered_name": null} |
layer105_expanded_conv_7_depthwise_BatchNorm | | default: {"build_config": {"input_shape": [null, 14, 14, 200]}, "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} |
layer106_tf.__operators__.add_147 | | default: {"build_config": {"input_shape": [null, 14, 14, 200]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_147", "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_147", "registered_name": "TFOpLambda"} |
layer107_re_lu_213 | | default: {"build_config": {"input_shape": [null, 14, 14, 200]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_213", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_147", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_213", "registered_name": null} |
layer108_tf.math.multiply_147 | | default: {"build_config": {"input_shape": [null, 14, 14, 200]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_147", "trainable": false}, "inbound_nodes": [["re_lu_213", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_147", "registered_name": "TFOpLambda"} |
layer109_multiply_104 | | default: {"build_config": {"input_shape": [[null, 14, 14, 200], [null, 14, 14, 200]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_104", "trainable": false}, "inbound_nodes": [[["expanded_conv_7/depthwise/BatchNorm", 0, 0, {}], ["tf.math.multiply_147", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_104", "registered_name": null} |
layer110_expanded_conv_7_project | | default: {"build_config": {"input_shape": [null, 14, 14, 200]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["multiply_104", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_7/project", "registered_name": null} |
layer111_expanded_conv_7_project_BatchNorm | | default: {"build_config": {"input_shape": [null, 14, 14, 80]}, "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} |
layer112_expanded_conv_7_Add | | default: {"build_config": {"input_shape": [[null, 14, 14, 80], [null, 14, 14, 80]]}, "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} |
layer113_expanded_conv_8_expand | | default: {"build_config": {"input_shape": [null, 14, 14, 80]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_7/Add", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_8/expand", "registered_name": null} |
layer114_expanded_conv_8_expand_BatchNorm | | default: {"build_config": {"input_shape": [null, 14, 14, 184]}, "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} |
layer115_tf.__operators__.add_148 | | default: {"build_config": {"input_shape": [null, 14, 14, 184]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_148", "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_148", "registered_name": "TFOpLambda"} |
layer116_re_lu_214 | | default: {"build_config": {"input_shape": [null, 14, 14, 184]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_214", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_148", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_214", "registered_name": null} |
layer117_tf.math.multiply_148 | | default: {"build_config": {"input_shape": [null, 14, 14, 184]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_148", "trainable": false}, "inbound_nodes": [["re_lu_214", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_148", "registered_name": "TFOpLambda"} |
layer118_multiply_105 | | default: {"build_config": {"input_shape": [[null, 14, 14, 184], [null, 14, 14, 184]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_105", "trainable": false}, "inbound_nodes": [[["expanded_conv_8/expand/BatchNorm", 0, 0, {}], ["tf.math.multiply_148", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_105", "registered_name": null} |
layer119_expanded_conv_8_depthwise | | default: {"build_config": {"input_shape": [null, 14, 14, 184]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["multiply_105", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_8/depthwise", "registered_name": null} |
layer120_expanded_conv_8_depthwise_BatchNorm | | default: {"build_config": {"input_shape": [null, 14, 14, 184]}, "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} |
layer121_tf.__operators__.add_149 | | default: {"build_config": {"input_shape": [null, 14, 14, 184]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_149", "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_149", "registered_name": "TFOpLambda"} |
layer122_re_lu_215 | | default: {"build_config": {"input_shape": [null, 14, 14, 184]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_215", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_149", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_215", "registered_name": null} |
layer123_tf.math.multiply_149 | | default: {"build_config": {"input_shape": [null, 14, 14, 184]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_149", "trainable": false}, "inbound_nodes": [["re_lu_215", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_149", "registered_name": "TFOpLambda"} |
layer124_multiply_106 | | default: {"build_config": {"input_shape": [[null, 14, 14, 184], [null, 14, 14, 184]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_106", "trainable": false}, "inbound_nodes": [[["expanded_conv_8/depthwise/BatchNorm", 0, 0, {}], ["tf.math.multiply_149", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_106", "registered_name": null} |
layer125_expanded_conv_8_project | | default: {"build_config": {"input_shape": [null, 14, 14, 184]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["multiply_106", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_8/project", "registered_name": null} |
layer126_expanded_conv_8_project_BatchNorm | | default: {"build_config": {"input_shape": [null, 14, 14, 80]}, "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} |
layer127_expanded_conv_8_Add | | default: {"build_config": {"input_shape": [[null, 14, 14, 80], [null, 14, 14, 80]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "expanded_conv_8/Add", "trainable": false}, "inbound_nodes": [[["expanded_conv_7/Add", 0, 0, {}], ["expanded_conv_8/project/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_8/Add", "registered_name": null} |
layer128_expanded_conv_9_expand | | default: {"build_config": {"input_shape": [null, 14, 14, 80]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_8/Add", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_9/expand", "registered_name": null} |
layer129_expanded_conv_9_expand_BatchNorm | | default: {"build_config": {"input_shape": [null, 14, 14, 184]}, "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} |
layer130_tf.__operators__.add_150 | | default: {"build_config": {"input_shape": [null, 14, 14, 184]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_150", "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_150", "registered_name": "TFOpLambda"} |
layer131_re_lu_216 | | default: {"build_config": {"input_shape": [null, 14, 14, 184]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_216", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_150", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_216", "registered_name": null} |
layer132_tf.math.multiply_150 | | default: {"build_config": {"input_shape": [null, 14, 14, 184]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_150", "trainable": false}, "inbound_nodes": [["re_lu_216", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_150", "registered_name": "TFOpLambda"} |
layer133_multiply_107 | | default: {"build_config": {"input_shape": [[null, 14, 14, 184], [null, 14, 14, 184]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_107", "trainable": false}, "inbound_nodes": [[["expanded_conv_9/expand/BatchNorm", 0, 0, {}], ["tf.math.multiply_150", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_107", "registered_name": null} |
layer134_expanded_conv_9_depthwise | | default: {"build_config": {"input_shape": [null, 14, 14, 184]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["multiply_107", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_9/depthwise", "registered_name": null} |
layer135_expanded_conv_9_depthwise_BatchNorm | | default: {"build_config": {"input_shape": [null, 14, 14, 184]}, "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} |
layer136_tf.__operators__.add_151 | | default: {"build_config": {"input_shape": [null, 14, 14, 184]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_151", "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_151", "registered_name": "TFOpLambda"} |
layer137_re_lu_217 | | default: {"build_config": {"input_shape": [null, 14, 14, 184]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_217", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_151", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_217", "registered_name": null} |
layer138_tf.math.multiply_151 | | default: {"build_config": {"input_shape": [null, 14, 14, 184]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_151", "trainable": false}, "inbound_nodes": [["re_lu_217", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_151", "registered_name": "TFOpLambda"} |
layer139_multiply_108 | | default: {"build_config": {"input_shape": [[null, 14, 14, 184], [null, 14, 14, 184]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_108", "trainable": false}, "inbound_nodes": [[["expanded_conv_9/depthwise/BatchNorm", 0, 0, {}], ["tf.math.multiply_151", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_108", "registered_name": null} |
layer140_expanded_conv_9_project | | default: {"build_config": {"input_shape": [null, 14, 14, 184]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["multiply_108", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_9/project", "registered_name": null} |
layer141_expanded_conv_9_project_BatchNorm | | default: {"build_config": {"input_shape": [null, 14, 14, 80]}, "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} |
layer142_expanded_conv_9_Add | | default: {"build_config": {"input_shape": [[null, 14, 14, 80], [null, 14, 14, 80]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "expanded_conv_9/Add", "trainable": false}, "inbound_nodes": [[["expanded_conv_8/Add", 0, 0, {}], ["expanded_conv_9/project/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_9/Add", "registered_name": null} |
layer143_expanded_conv_10_expand | | default: {"build_config": {"input_shape": [null, 14, 14, 80]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_9/Add", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_10/expand", "registered_name": null} |
layer144_expanded_conv_10_expand_BatchNorm | | default: {"build_config": {"input_shape": [null, 14, 14, 480]}, "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} |
layer145_tf.__operators__.add_152 | | default: {"build_config": {"input_shape": [null, 14, 14, 480]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_152", "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_152", "registered_name": "TFOpLambda"} |
layer146_re_lu_218 | | default: {"build_config": {"input_shape": [null, 14, 14, 480]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_218", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_152", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_218", "registered_name": null} |
layer147_tf.math.multiply_152 | | default: {"build_config": {"input_shape": [null, 14, 14, 480]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_152", "trainable": false}, "inbound_nodes": [["re_lu_218", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_152", "registered_name": "TFOpLambda"} |
layer148_multiply_109 | | default: {"build_config": {"input_shape": [[null, 14, 14, 480], [null, 14, 14, 480]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_109", "trainable": false}, "inbound_nodes": [[["expanded_conv_10/expand/BatchNorm", 0, 0, {}], ["tf.math.multiply_152", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_109", "registered_name": null} |
layer149_expanded_conv_10_depthwise | | default: {"build_config": {"input_shape": [null, 14, 14, 480]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["multiply_109", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_10/depthwise", "registered_name": null} |
layer150_expanded_conv_10_depthwise_BatchNorm | | default: {"build_config": {"input_shape": [null, 14, 14, 480]}, "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} |
layer151_tf.__operators__.add_153 | | default: {"build_config": {"input_shape": [null, 14, 14, 480]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_153", "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_153", "registered_name": "TFOpLambda"} |
layer152_re_lu_219 | | default: {"build_config": {"input_shape": [null, 14, 14, 480]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_219", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_153", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_219", "registered_name": null} |
layer153_tf.math.multiply_153 | | default: {"build_config": {"input_shape": [null, 14, 14, 480]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_153", "trainable": false}, "inbound_nodes": [["re_lu_219", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_153", "registered_name": "TFOpLambda"} |
layer154_multiply_110 | | default: {"build_config": {"input_shape": [[null, 14, 14, 480], [null, 14, 14, 480]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_110", "trainable": false}, "inbound_nodes": [[["expanded_conv_10/depthwise/BatchNorm", 0, 0, {}], ["tf.math.multiply_153", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_110", "registered_name": null} |
layer155_expanded_conv_10_squeeze_excite_AvgPool | | default: {"build_config": {"input_shape": [null, 14, 14, 480]}, "class_name": "GlobalAveragePooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "keepdims": true, "name": "expanded_conv_10/squeeze_excite/AvgPool", "trainable": false}, "inbound_nodes": [[["multiply_110", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_10/squeeze_excite/AvgPool", "registered_name": null} |
layer156_expanded_conv_10_squeeze_excite_Conv | | default: {"build_config": {"input_shape": [null, 1, 1, 480]}, "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} |
layer157_expanded_conv_10_squeeze_excite_Relu | | default: {"build_config": {"input_shape": [null, 1, 1, 120]}, "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} |
layer158_expanded_conv_10_squeeze_excite_Conv_1 | | default: {"build_config": {"input_shape": [null, 1, 1, 120]}, "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} |
layer159_tf.__operators__.add_154 | | default: {"build_config": {"input_shape": [null, 1, 1, 480]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_154", "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_154", "registered_name": "TFOpLambda"} |
layer160_re_lu_220 | | default: {"build_config": {"input_shape": [null, 1, 1, 480]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_220", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_154", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_220", "registered_name": null} |
layer161_tf.math.multiply_154 | | default: {"build_config": {"input_shape": [null, 1, 1, 480]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_154", "trainable": false}, "inbound_nodes": [["re_lu_220", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_154", "registered_name": "TFOpLambda"} |
layer162_expanded_conv_10_squeeze_excite_Mul | | default: {"build_config": {"input_shape": [[null, 14, 14, 480], [null, 1, 1, 480]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "expanded_conv_10/squeeze_excite/Mul", "trainable": false}, "inbound_nodes": [[["multiply_110", 0, 0, {}], ["tf.math.multiply_154", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_10/squeeze_excite/Mul", "registered_name": null} |
layer163_expanded_conv_10_project | | default: {"build_config": {"input_shape": [null, 14, 14, 480]}, "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} |
layer164_expanded_conv_10_project_BatchNorm | | default: {"build_config": {"input_shape": [null, 14, 14, 112]}, "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} |
layer165_expanded_conv_11_expand | | default: {"build_config": {"input_shape": [null, 14, 14, 112]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_10/project/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_11/expand", "registered_name": null} |
layer166_expanded_conv_11_expand_BatchNorm | | default: {"build_config": {"input_shape": [null, 14, 14, 672]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_11/expand", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_11/expand/BatchNorm", "registered_name": null} |
layer167_tf.__operators__.add_155 | | default: {"build_config": {"input_shape": [null, 14, 14, 672]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_155", "trainable": false}, "inbound_nodes": [["expanded_conv_11/expand/BatchNorm", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_155", "registered_name": "TFOpLambda"} |
layer168_re_lu_221 | | default: {"build_config": {"input_shape": [null, 14, 14, 672]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_221", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_155", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_221", "registered_name": null} |
layer169_tf.math.multiply_155 | | default: {"build_config": {"input_shape": [null, 14, 14, 672]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_155", "trainable": false}, "inbound_nodes": [["re_lu_221", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_155", "registered_name": "TFOpLambda"} |
layer170_multiply_111 | | default: {"build_config": {"input_shape": [[null, 14, 14, 672], [null, 14, 14, 672]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_111", "trainable": false}, "inbound_nodes": [[["expanded_conv_11/expand/BatchNorm", 0, 0, {}], ["tf.math.multiply_155", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_111", "registered_name": null} |
layer171_expanded_conv_11_depthwise | | default: {"build_config": {"input_shape": [null, 14, 14, 672]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["multiply_111", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_11/depthwise", "registered_name": null} |
layer172_expanded_conv_11_depthwise_BatchNorm | | default: {"build_config": {"input_shape": [null, 14, 14, 672]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_11/depthwise", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_11/depthwise/BatchNorm", "registered_name": null} |
layer173_tf.__operators__.add_156 | | default: {"build_config": {"input_shape": [null, 14, 14, 672]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_156", "trainable": false}, "inbound_nodes": [["expanded_conv_11/depthwise/BatchNorm", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_156", "registered_name": "TFOpLambda"} |
layer174_re_lu_222 | | default: {"build_config": {"input_shape": [null, 14, 14, 672]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_222", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_156", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_222", "registered_name": null} |
layer175_tf.math.multiply_156 | | default: {"build_config": {"input_shape": [null, 14, 14, 672]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_156", "trainable": false}, "inbound_nodes": [["re_lu_222", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_156", "registered_name": "TFOpLambda"} |
layer176_multiply_112 | | default: {"build_config": {"input_shape": [[null, 14, 14, 672], [null, 14, 14, 672]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_112", "trainable": false}, "inbound_nodes": [[["expanded_conv_11/depthwise/BatchNorm", 0, 0, {}], ["tf.math.multiply_156", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_112", "registered_name": null} |
layer177_expanded_conv_11_squeeze_excite_AvgPool | | default: {"build_config": {"input_shape": [null, 14, 14, 672]}, "class_name": "GlobalAveragePooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "keepdims": true, "name": "expanded_conv_11/squeeze_excite/AvgPool", "trainable": false}, "inbound_nodes": [[["multiply_112", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_11/squeeze_excite/AvgPool", "registered_name": null} |
layer178_expanded_conv_11_squeeze_excite_Conv | | default: {"build_config": {"input_shape": [null, 1, 1, 672]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_11/squeeze_excite/AvgPool", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_11/squeeze_excite/Conv", "registered_name": null} |
layer179_expanded_conv_11_squeeze_excite_Relu | | default: {"build_config": {"input_shape": [null, 1, 1, 168]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "expanded_conv_11/squeeze_excite/Relu", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_11/squeeze_excite/Conv", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_11/squeeze_excite/Relu", "registered_name": null} |
layer180_expanded_conv_11_squeeze_excite_Conv_1 | | default: {"build_config": {"input_shape": [null, 1, 1, 168]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_11/squeeze_excite/Relu", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_11/squeeze_excite/Conv_1", "registered_name": null} |
layer181_tf.__operators__.add_157 | | default: {"build_config": {"input_shape": [null, 1, 1, 672]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_157", "trainable": false}, "inbound_nodes": [["expanded_conv_11/squeeze_excite/Conv_1", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_157", "registered_name": "TFOpLambda"} |
layer182_re_lu_223 | | default: {"build_config": {"input_shape": [null, 1, 1, 672]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_223", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_157", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_223", "registered_name": null} |
layer183_tf.math.multiply_157 | | default: {"build_config": {"input_shape": [null, 1, 1, 672]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_157", "trainable": false}, "inbound_nodes": [["re_lu_223", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_157", "registered_name": "TFOpLambda"} |
layer184_expanded_conv_11_squeeze_excite_Mul | | default: {"build_config": {"input_shape": [[null, 14, 14, 672], [null, 1, 1, 672]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "expanded_conv_11/squeeze_excite/Mul", "trainable": false}, "inbound_nodes": [[["multiply_112", 0, 0, {}], ["tf.math.multiply_157", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_11/squeeze_excite/Mul", "registered_name": null} |
layer185_expanded_conv_11_project | | default: {"build_config": {"input_shape": [null, 14, 14, 672]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_11/squeeze_excite/Mul", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_11/project", "registered_name": null} |
layer186_expanded_conv_11_project_BatchNorm | | default: {"build_config": {"input_shape": [null, 14, 14, 112]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_11/project", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_11/project/BatchNorm", "registered_name": null} |
layer187_expanded_conv_11_Add | | default: {"build_config": {"input_shape": [[null, 14, 14, 112], [null, 14, 14, 112]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "expanded_conv_11/Add", "trainable": false}, "inbound_nodes": [[["expanded_conv_10/project/BatchNorm", 0, 0, {}], ["expanded_conv_11/project/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_11/Add", "registered_name": null} |
layer188_expanded_conv_12_expand | | default: {"build_config": {"input_shape": [null, 14, 14, 112]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_11/Add", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_12/expand", "registered_name": null} |
layer189_expanded_conv_12_expand_BatchNorm | | default: {"build_config": {"input_shape": [null, 14, 14, 672]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_12/expand", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_12/expand/BatchNorm", "registered_name": null} |
layer190_tf.__operators__.add_158 | | default: {"build_config": {"input_shape": [null, 14, 14, 672]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_158", "trainable": false}, "inbound_nodes": [["expanded_conv_12/expand/BatchNorm", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_158", "registered_name": "TFOpLambda"} |
layer191_re_lu_224 | | default: {"build_config": {"input_shape": [null, 14, 14, 672]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_224", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_158", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_224", "registered_name": null} |
layer192_tf.math.multiply_158 | | default: {"build_config": {"input_shape": [null, 14, 14, 672]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_158", "trainable": false}, "inbound_nodes": [["re_lu_224", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_158", "registered_name": "TFOpLambda"} |
layer193_multiply_113 | | default: {"build_config": {"input_shape": [[null, 14, 14, 672], [null, 14, 14, 672]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_113", "trainable": false}, "inbound_nodes": [[["expanded_conv_12/expand/BatchNorm", 0, 0, {}], ["tf.math.multiply_158", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_113", "registered_name": null} |
layer194_expanded_conv_12_depthwise_pad | | default: {"build_config": {"input_shape": [null, 14, 14, 672]}, "class_name": "ZeroPadding2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "expanded_conv_12/depthwise/pad", "padding": [[1, 2], [1, 2]], "trainable": false}, "inbound_nodes": [[["multiply_113", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_12/depthwise/pad", "registered_name": null} |
layer195_expanded_conv_12_depthwise | | default: {"build_config": {"input_shape": [null, 17, 17, 672]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_12/depthwise/pad", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_12/depthwise", "registered_name": null} |
layer196_expanded_conv_12_depthwise_BatchNorm | | default: {"build_config": {"input_shape": [null, 7, 7, 672]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_12/depthwise", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_12/depthwise/BatchNorm", "registered_name": null} |
layer197_tf.__operators__.add_159 | | default: {"build_config": {"input_shape": [null, 7, 7, 672]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_159", "trainable": false}, "inbound_nodes": [["expanded_conv_12/depthwise/BatchNorm", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_159", "registered_name": "TFOpLambda"} |
layer198_re_lu_225 | | default: {"build_config": {"input_shape": [null, 7, 7, 672]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_225", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_159", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_225", "registered_name": null} |
layer199_tf.math.multiply_159 | | default: {"build_config": {"input_shape": [null, 7, 7, 672]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_159", "trainable": false}, "inbound_nodes": [["re_lu_225", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_159", "registered_name": "TFOpLambda"} |
layer200_multiply_114 | | default: {"build_config": {"input_shape": [[null, 7, 7, 672], [null, 7, 7, 672]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_114", "trainable": false}, "inbound_nodes": [[["expanded_conv_12/depthwise/BatchNorm", 0, 0, {}], ["tf.math.multiply_159", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_114", "registered_name": null} |
layer201_expanded_conv_12_squeeze_excite_AvgPool | | default: {"build_config": {"input_shape": [null, 7, 7, 672]}, "class_name": "GlobalAveragePooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "keepdims": true, "name": "expanded_conv_12/squeeze_excite/AvgPool", "trainable": false}, "inbound_nodes": [[["multiply_114", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_12/squeeze_excite/AvgPool", "registered_name": null} |
layer202_expanded_conv_12_squeeze_excite_Conv | | default: {"build_config": {"input_shape": [null, 1, 1, 672]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_12/squeeze_excite/AvgPool", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_12/squeeze_excite/Conv", "registered_name": null} |
layer203_expanded_conv_12_squeeze_excite_Relu | | default: {"build_config": {"input_shape": [null, 1, 1, 168]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "expanded_conv_12/squeeze_excite/Relu", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_12/squeeze_excite/Conv", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_12/squeeze_excite/Relu", "registered_name": null} |
layer204_expanded_conv_12_squeeze_excite_Conv_1 | | default: {"build_config": {"input_shape": [null, 1, 1, 168]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_12/squeeze_excite/Relu", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_12/squeeze_excite/Conv_1", "registered_name": null} |
layer205_tf.__operators__.add_160 | | default: {"build_config": {"input_shape": [null, 1, 1, 672]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_160", "trainable": false}, "inbound_nodes": [["expanded_conv_12/squeeze_excite/Conv_1", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_160", "registered_name": "TFOpLambda"} |
layer206_re_lu_226 | | default: {"build_config": {"input_shape": [null, 1, 1, 672]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_226", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_160", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_226", "registered_name": null} |
layer207_tf.math.multiply_160 | | default: {"build_config": {"input_shape": [null, 1, 1, 672]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_160", "trainable": false}, "inbound_nodes": [["re_lu_226", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_160", "registered_name": "TFOpLambda"} |
layer208_expanded_conv_12_squeeze_excite_Mul | | default: {"build_config": {"input_shape": [[null, 7, 7, 672], [null, 1, 1, 672]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "expanded_conv_12/squeeze_excite/Mul", "trainable": false}, "inbound_nodes": [[["multiply_114", 0, 0, {}], ["tf.math.multiply_160", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_12/squeeze_excite/Mul", "registered_name": null} |
layer209_expanded_conv_12_project | | default: {"build_config": {"input_shape": [null, 7, 7, 672]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_12/squeeze_excite/Mul", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_12/project", "registered_name": null} |
layer210_expanded_conv_12_project_BatchNorm | | default: {"build_config": {"input_shape": [null, 7, 7, 160]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_12/project", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_12/project/BatchNorm", "registered_name": null} |
layer211_expanded_conv_13_expand | | default: {"build_config": {"input_shape": [null, 7, 7, 160]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_12/project/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_13/expand", "registered_name": null} |
layer212_expanded_conv_13_expand_BatchNorm | | default: {"build_config": {"input_shape": [null, 7, 7, 960]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_13/expand", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_13/expand/BatchNorm", "registered_name": null} |
layer213_tf.__operators__.add_161 | | default: {"build_config": {"input_shape": [null, 7, 7, 960]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_161", "trainable": false}, "inbound_nodes": [["expanded_conv_13/expand/BatchNorm", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_161", "registered_name": "TFOpLambda"} |
layer214_re_lu_227 | | default: {"build_config": {"input_shape": [null, 7, 7, 960]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_227", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_161", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_227", "registered_name": null} |
layer215_tf.math.multiply_161 | | default: {"build_config": {"input_shape": [null, 7, 7, 960]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_161", "trainable": false}, "inbound_nodes": [["re_lu_227", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_161", "registered_name": "TFOpLambda"} |
layer216_multiply_115 | | default: {"build_config": {"input_shape": [[null, 7, 7, 960], [null, 7, 7, 960]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_115", "trainable": false}, "inbound_nodes": [[["expanded_conv_13/expand/BatchNorm", 0, 0, {}], ["tf.math.multiply_161", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_115", "registered_name": null} |
layer217_expanded_conv_13_depthwise | | default: {"build_config": {"input_shape": [null, 7, 7, 960]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["multiply_115", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_13/depthwise", "registered_name": null} |
layer218_expanded_conv_13_depthwise_BatchNorm | | default: {"build_config": {"input_shape": [null, 7, 7, 960]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_13/depthwise", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_13/depthwise/BatchNorm", "registered_name": null} |
layer219_tf.__operators__.add_162 | | default: {"build_config": {"input_shape": [null, 7, 7, 960]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_162", "trainable": false}, "inbound_nodes": [["expanded_conv_13/depthwise/BatchNorm", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_162", "registered_name": "TFOpLambda"} |
layer220_re_lu_228 | | default: {"build_config": {"input_shape": [null, 7, 7, 960]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_228", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_162", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_228", "registered_name": null} |
layer221_tf.math.multiply_162 | | default: {"build_config": {"input_shape": [null, 7, 7, 960]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_162", "trainable": false}, "inbound_nodes": [["re_lu_228", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_162", "registered_name": "TFOpLambda"} |
layer222_multiply_116 | | default: {"build_config": {"input_shape": [[null, 7, 7, 960], [null, 7, 7, 960]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_116", "trainable": false}, "inbound_nodes": [[["expanded_conv_13/depthwise/BatchNorm", 0, 0, {}], ["tf.math.multiply_162", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_116", "registered_name": null} |
layer223_expanded_conv_13_squeeze_excite_AvgPool | | default: {"build_config": {"input_shape": [null, 7, 7, 960]}, "class_name": "GlobalAveragePooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "keepdims": true, "name": "expanded_conv_13/squeeze_excite/AvgPool", "trainable": false}, "inbound_nodes": [[["multiply_116", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_13/squeeze_excite/AvgPool", "registered_name": null} |
layer224_expanded_conv_13_squeeze_excite_Conv | | default: {"build_config": {"input_shape": [null, 1, 1, 960]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_13/squeeze_excite/AvgPool", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_13/squeeze_excite/Conv", "registered_name": null} |
layer225_expanded_conv_13_squeeze_excite_Relu | | default: {"build_config": {"input_shape": [null, 1, 1, 240]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "expanded_conv_13/squeeze_excite/Relu", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_13/squeeze_excite/Conv", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_13/squeeze_excite/Relu", "registered_name": null} |
layer226_expanded_conv_13_squeeze_excite_Conv_1 | | default: {"build_config": {"input_shape": [null, 1, 1, 240]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_13/squeeze_excite/Relu", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_13/squeeze_excite/Conv_1", "registered_name": null} |
layer227_tf.__operators__.add_163 | | default: {"build_config": {"input_shape": [null, 1, 1, 960]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_163", "trainable": false}, "inbound_nodes": [["expanded_conv_13/squeeze_excite/Conv_1", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_163", "registered_name": "TFOpLambda"} |
layer228_re_lu_229 | | default: {"build_config": {"input_shape": [null, 1, 1, 960]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_229", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_163", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_229", "registered_name": null} |
layer229_tf.math.multiply_163 | | default: {"build_config": {"input_shape": [null, 1, 1, 960]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_163", "trainable": false}, "inbound_nodes": [["re_lu_229", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_163", "registered_name": "TFOpLambda"} |
layer230_expanded_conv_13_squeeze_excite_Mul | | default: {"build_config": {"input_shape": [[null, 7, 7, 960], [null, 1, 1, 960]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "expanded_conv_13/squeeze_excite/Mul", "trainable": false}, "inbound_nodes": [[["multiply_116", 0, 0, {}], ["tf.math.multiply_163", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_13/squeeze_excite/Mul", "registered_name": null} |
layer231_expanded_conv_13_project | | default: {"build_config": {"input_shape": [null, 7, 7, 960]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_13/squeeze_excite/Mul", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_13/project", "registered_name": null} |
layer232_expanded_conv_13_project_BatchNorm | | default: {"build_config": {"input_shape": [null, 7, 7, 160]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_13/project", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_13/project/BatchNorm", "registered_name": null} |
layer233_expanded_conv_13_Add | | default: {"build_config": {"input_shape": [[null, 7, 7, 160], [null, 7, 7, 160]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "expanded_conv_13/Add", "trainable": false}, "inbound_nodes": [[["expanded_conv_12/project/BatchNorm", 0, 0, {}], ["expanded_conv_13/project/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_13/Add", "registered_name": null} |
layer234_expanded_conv_14_expand | | default: {"build_config": {"input_shape": [null, 7, 7, 160]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_13/Add", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_14/expand", "registered_name": null} |
layer235_expanded_conv_14_expand_BatchNorm | | default: {"build_config": {"input_shape": [null, 7, 7, 960]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_14/expand", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_14/expand/BatchNorm", "registered_name": null} |
layer236_tf.__operators__.add_164 | | default: {"build_config": {"input_shape": [null, 7, 7, 960]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_164", "trainable": false}, "inbound_nodes": [["expanded_conv_14/expand/BatchNorm", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_164", "registered_name": "TFOpLambda"} |
layer237_re_lu_230 | | default: {"build_config": {"input_shape": [null, 7, 7, 960]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_230", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_164", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_230", "registered_name": null} |
layer238_tf.math.multiply_164 | | default: {"build_config": {"input_shape": [null, 7, 7, 960]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_164", "trainable": false}, "inbound_nodes": [["re_lu_230", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_164", "registered_name": "TFOpLambda"} |
layer239_multiply_117 | | default: {"build_config": {"input_shape": [[null, 7, 7, 960], [null, 7, 7, 960]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_117", "trainable": false}, "inbound_nodes": [[["expanded_conv_14/expand/BatchNorm", 0, 0, {}], ["tf.math.multiply_164", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_117", "registered_name": null} |
layer240_expanded_conv_14_depthwise | | default: {"build_config": {"input_shape": [null, 7, 7, 960]}, "class_name": "DepthwiseConv2D", "config": "linear", "inbound_nodes": [[["multiply_117", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_14/depthwise", "registered_name": null} |
layer241_expanded_conv_14_depthwise_BatchNorm | | default: {"build_config": {"input_shape": [null, 7, 7, 960]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_14/depthwise", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_14/depthwise/BatchNorm", "registered_name": null} |
layer242_tf.__operators__.add_165 | | default: {"build_config": {"input_shape": [null, 7, 7, 960]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_165", "trainable": false}, "inbound_nodes": [["expanded_conv_14/depthwise/BatchNorm", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_165", "registered_name": "TFOpLambda"} |
layer243_re_lu_231 | | default: {"build_config": {"input_shape": [null, 7, 7, 960]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_231", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_165", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_231", "registered_name": null} |
layer244_tf.math.multiply_165 | | default: {"build_config": {"input_shape": [null, 7, 7, 960]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_165", "trainable": false}, "inbound_nodes": [["re_lu_231", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_165", "registered_name": "TFOpLambda"} |
layer245_multiply_118 | | default: {"build_config": {"input_shape": [[null, 7, 7, 960], [null, 7, 7, 960]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_118", "trainable": false}, "inbound_nodes": [[["expanded_conv_14/depthwise/BatchNorm", 0, 0, {}], ["tf.math.multiply_165", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_118", "registered_name": null} |
layer246_expanded_conv_14_squeeze_excite_AvgPool | | default: {"build_config": {"input_shape": [null, 7, 7, 960]}, "class_name": "GlobalAveragePooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "keepdims": true, "name": "expanded_conv_14/squeeze_excite/AvgPool", "trainable": false}, "inbound_nodes": [[["multiply_118", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_14/squeeze_excite/AvgPool", "registered_name": null} |
layer247_expanded_conv_14_squeeze_excite_Conv | | default: {"build_config": {"input_shape": [null, 1, 1, 960]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_14/squeeze_excite/AvgPool", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_14/squeeze_excite/Conv", "registered_name": null} |
layer248_expanded_conv_14_squeeze_excite_Relu | | default: {"build_config": {"input_shape": [null, 1, 1, 240]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": null, "name": "expanded_conv_14/squeeze_excite/Relu", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["expanded_conv_14/squeeze_excite/Conv", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_14/squeeze_excite/Relu", "registered_name": null} |
layer249_expanded_conv_14_squeeze_excite_Conv_1 | | default: {"build_config": {"input_shape": [null, 1, 1, 240]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_14/squeeze_excite/Relu", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_14/squeeze_excite/Conv_1", "registered_name": null} |
layer250_tf.__operators__.add_166 | | default: {"build_config": {"input_shape": [null, 1, 1, 960]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_166", "trainable": false}, "inbound_nodes": [["expanded_conv_14/squeeze_excite/Conv_1", 0, 0, {"name": null, "y": 3.0}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.__operators__.add_166", "registered_name": "TFOpLambda"} |
layer251_re_lu_232 | | default: {"build_config": {"input_shape": [null, 1, 1, 960]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_232", "negative_slope": 0.0, "threshold": 0.0, "trainable": false}, "inbound_nodes": [[["tf.__operators__.add_166", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_232", "registered_name": null} |
layer252_tf.math.multiply_166 | | default: {"build_config": {"input_shape": [null, 1, 1, 960]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_166", "trainable": false}, "inbound_nodes": [["re_lu_232", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_166", "registered_name": "TFOpLambda"} |
layer253_expanded_conv_14_squeeze_excite_Mul | | default: {"build_config": {"input_shape": [[null, 7, 7, 960], [null, 1, 1, 960]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "expanded_conv_14/squeeze_excite/Mul", "trainable": false}, "inbound_nodes": [[["multiply_118", 0, 0, {}], ["tf.math.multiply_166", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_14/squeeze_excite/Mul", "registered_name": null} |
layer254_expanded_conv_14_project | | default: {"build_config": {"input_shape": [null, 7, 7, 960]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_14/squeeze_excite/Mul", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_14/project", "registered_name": null} |
layer255_expanded_conv_14_project_BatchNorm | | default: {"build_config": {"input_shape": [null, 7, 7, 160]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["expanded_conv_14/project", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_14/project/BatchNorm", "registered_name": null} |
layer256_expanded_conv_14_Add | | default: {"build_config": {"input_shape": [[null, 7, 7, 160], [null, 7, 7, 160]]}, "class_name": "Add", "config": {"dtype": "float32", "name": "expanded_conv_14/Add", "trainable": false}, "inbound_nodes": [[["expanded_conv_13/Add", 0, 0, {}], ["expanded_conv_14/project/BatchNorm", 0, 0, {}]]], "module": "keras.layers", "name": "expanded_conv_14/Add", "registered_name": null} |
layer257_Conv_1 | | default: {"build_config": {"input_shape": [null, 7, 7, 160]}, "class_name": "Conv2D", "config": "linear", "inbound_nodes": [[["expanded_conv_14/Add", 0, 0, {}]]], "module": "keras.layers", "name": "Conv_1", "registered_name": null} |
layer258_Conv_1_BatchNorm | | default: {"build_config": {"input_shape": [null, 7, 7, 960]}, "class_name": "BatchNormalization", "config": [3], "inbound_nodes": [[["Conv_1", 0, 0, {}]]], "module": "keras.layers", "name": "Conv_1/BatchNorm", "registered_name": null} |
layer259_tf.__operators__.add_167 | | default: {"build_config": {"input_shape": [null, 7, 7, 960]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "__operators__.add", "name": "tf.__operators__.add_167", "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_167", "registered_name": "TFOpLambda"} |
layer260_re_lu_233 | | default: {"build_config": {"input_shape": [null, 7, 7, 960]}, "class_name": "ReLU", "config": {"dtype": "float32", "max_value": 6.0, "name": "re_lu_233", "negative_slope": 0.0, "threshold": 0.0, "trainable": true}, "inbound_nodes": [[["tf.__operators__.add_167", 0, 0, {}]]], "module": "keras.layers", "name": "re_lu_233", "registered_name": null} |
layer261_tf.math.multiply_167 | | default: {"build_config": {"input_shape": [null, 7, 7, 960]}, "class_name": "TFOpLambda", "config": {"dtype": "float32", "function": "math.multiply", "name": "tf.math.multiply_167", "trainable": true}, "inbound_nodes": [["re_lu_233", 0, 0, {"name": null, "y": 0.16666666666666666}]], "module": "keras.src.layers.core.tf_op_layer", "name": "tf.math.multiply_167", "registered_name": "TFOpLambda"} |
layer262_multiply_119 | | default: {"build_config": {"input_shape": [[null, 7, 7, 960], [null, 7, 7, 960]]}, "class_name": "Multiply", "config": {"dtype": "float32", "name": "multiply_119", "trainable": true}, "inbound_nodes": [[["Conv_1/BatchNorm", 0, 0, {}], ["tf.math.multiply_167", 0, 0, {}]]], "module": "keras.layers", "name": "multiply_119", "registered_name": null} |
layer263_global_average_pooling2d_7 | | default: {"build_config": {"input_shape": [null, 7, 7, 960]}, "class_name": "GlobalAveragePooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "keepdims": false, "name": "global_average_pooling2d_7", "trainable": true}, "inbound_nodes": [[["multiply_119", 0, 0, {}]]], "module": "keras.layers", "name": "global_average_pooling2d_7", "registered_name": null} |
layer264_batch_normalization_20 | | default: {"build_config": {"input_shape": [null, 960]}, "class_name": "BatchNormalization", "config": [1], "inbound_nodes": [[["global_average_pooling2d_7", 0, 0, {}]]], "module": "keras.layers", "name": "batch_normalization_20", "registered_name": null} |
layer265_dropout_20 | | default: {"build_config": {"input_shape": [null, 960]}, "class_name": "Dropout", "config": {"dtype": "float32", "name": "dropout_20", "noise_shape": null, "rate": 0.25, "seed": null, "trainable": true}, "inbound_nodes": [[["batch_normalization_20", 0, 0, {}]]], "module": "keras.layers", "name": "dropout_20", "registered_name": null} |
layer266_dense_21 | | default: {"build_config": {"input_shape": [null, 960]}, "class_name": "Dense", "config": {"activation": "linear", "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": {"class_name": "L2", "config": {"l2": 0.009999999776482582}, "module": "keras.regularizers", "registered_name": null}, "name": "dense_21", "trainable": true, "units": 1024, "use_bias": true}, "inbound_nodes": [[["dropout_20", 0, 0, {}]]], "module": "keras.layers", "name": "dense_21", "registered_name": null} |
layer267_leaky_re_lu_15 | | default: {"build_config": {"input_shape": [null, 1024]}, "class_name": "LeakyReLU", "config": {"alpha": 0.10000000149011612, "dtype": "float32", "name": "leaky_re_lu_15", "trainable": true}, "inbound_nodes": [[["dense_21", 0, 0, {}]]], "module": "keras.layers", "name": "leaky_re_lu_15", "registered_name": null} |
layer268_batch_normalization_21 | | default: {"build_config": {"input_shape": [null, 1024]}, "class_name": "BatchNormalization", "config": [1], "inbound_nodes": [[["leaky_re_lu_15", 0, 0, {}]]], "module": "keras.layers", "name": "batch_normalization_21", "registered_name": null} |
layer269_dropout_21 | | default: {"build_config": {"input_shape": [null, 1024]}, "class_name": "Dropout", "config": {"dtype": "float32", "name": "dropout_21", "noise_shape": null, "rate": 0.25, "seed": null, "trainable": true}, "inbound_nodes": [[["batch_normalization_21", 0, 0, {}]]], "module": "keras.layers", "name": "dropout_21", "registered_name": null} |
layer270_dense_22 | | default: {"build_config": {"input_shape": [null, 1024]}, "class_name": "Dense", "config": {"activation": "linear", "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": {"class_name": "L2", "config": {"l2": 0.009999999776482582}, "module": "keras.regularizers", "registered_name": null}, "name": "dense_22", "trainable": true, "units": 512, "use_bias": true}, "inbound_nodes": [[["dropout_21", 0, 0, {}]]], "module": "keras.layers", "name": "dense_22", "registered_name": null} |
layer271_leaky_re_lu_16 | | default: {"build_config": {"input_shape": [null, 512]}, "class_name": "LeakyReLU", "config": {"alpha": 0.10000000149011612, "dtype": "float32", "name": "leaky_re_lu_16", "trainable": true}, "inbound_nodes": [[["dense_22", 0, 0, {}]]], "module": "keras.layers", "name": "leaky_re_lu_16", "registered_name": null} |
layer272_batch_normalization_22 | | default: {"build_config": {"input_shape": [null, 512]}, "class_name": "BatchNormalization", "config": [1], "inbound_nodes": [[["leaky_re_lu_16", 0, 0, {}]]], "module": "keras.layers", "name": "batch_normalization_22", "registered_name": null} |
layer273_dropout_22 | | default: {"build_config": {"input_shape": [null, 512]}, "class_name": "Dropout", "config": {"dtype": "float32", "name": "dropout_22", "noise_shape": null, "rate": 0.25, "seed": null, "trainable": true}, "inbound_nodes": [[["batch_normalization_22", 0, 0, {}]]], "module": "keras.layers", "name": "dropout_22", "registered_name": null} |
layer274_dense_23 | | default: {"build_config": {"input_shape": [null, 512]}, "class_name": "Dense", "config": {"activation": "linear", "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": {"class_name": "L2", "config": {"l2": 0.009999999776482582}, "module": "keras.regularizers", "registered_name": null}, "name": "dense_23", "trainable": true, "units": 256, "use_bias": true}, "inbound_nodes": [[["dropout_22", 0, 0, {}]]], "module": "keras.layers", "name": "dense_23", "registered_name": null} |
layer275_leaky_re_lu_17 | | default: {"build_config": {"input_shape": [null, 256]}, "class_name": "LeakyReLU", "config": {"alpha": 0.10000000149011612, "dtype": "float32", "name": "leaky_re_lu_17", "trainable": true}, "inbound_nodes": [[["dense_23", 0, 0, {}]]], "module": "keras.layers", "name": "leaky_re_lu_17", "registered_name": null} |
layer276_batch_normalization_23 | | default: {"build_config": {"input_shape": [null, 256]}, "class_name": "BatchNormalization", "config": [1], "inbound_nodes": [[["leaky_re_lu_17", 0, 0, {}]]], "module": "keras.layers", "name": "batch_normalization_23", "registered_name": null} |
layer277_dropout_23 | | default: {"build_config": {"input_shape": [null, 256]}, "class_name": "Dropout", "config": {"dtype": "float32", "name": "dropout_23", "noise_shape": null, "rate": 0.25, "seed": null, "trainable": true}, "inbound_nodes": [[["batch_normalization_23", 0, 0, {}]]], "module": "keras.layers", "name": "dropout_23", "registered_name": null} |
layer278_dense_24 | | default: {"build_config": {"input_shape": [null, 256]}, "class_name": "Dense", "config": {"activation": "linear", "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": {"class_name": "L2", "config": {"l2": 0.009999999776482582}, "module": "keras.regularizers", "registered_name": null}, "name": "dense_24", "trainable": true, "units": 128, "use_bias": true}, "inbound_nodes": [[["dropout_23", 0, 0, {}]]], "module": "keras.layers", "name": "dense_24", "registered_name": null} |
layer279_leaky_re_lu_18 | | default: {"build_config": {"input_shape": [null, 128]}, "class_name": "LeakyReLU", "config": {"alpha": 0.10000000149011612, "dtype": "float32", "name": "leaky_re_lu_18", "trainable": true}, "inbound_nodes": [[["dense_24", 0, 0, {}]]], "module": "keras.layers", "name": "leaky_re_lu_18", "registered_name": null} |
layer280_batch_normalization_24 | | default: {"build_config": {"input_shape": [null, 128]}, "class_name": "BatchNormalization", "config": [1], "inbound_nodes": [[["leaky_re_lu_18", 0, 0, {}]]], "module": "keras.layers", "name": "batch_normalization_24", "registered_name": null} |
layer281_dropout_24 | | default: {"build_config": {"input_shape": [null, 128]}, "class_name": "Dropout", "config": {"dtype": "float32", "name": "dropout_24", "noise_shape": null, "rate": 0.25, "seed": null, "trainable": true}, "inbound_nodes": [[["batch_normalization_24", 0, 0, {}]]], "module": "keras.layers", "name": "dropout_24", "registered_name": null} |
layer282_dense_25 | | 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_25", "trainable": true, "units": 67, "use_bias": true}, "inbound_nodes": [[["dropout_24", 0, 0, {}]]], "module": "keras.layers", "name": "dense_25", "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": 0.00039999998989515007, "name": "Adam", "use_ema": false, "weight_decay": null}}} |
tensorflow_version | | default: "2.15.0" |