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MobileNet_model2_Json_adam.json 42 KB

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  1. {"class_name": "Functional", "config": {"name": "model_1", "layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 224, 224, 3], "dtype": "float32", "sparse": false, "ragged": false, "name": "input_3"}, "name": "input_3", "inbound_nodes": []}, {"class_name": "Conv2D", "config": {"name": "conv1", "trainable": false, "dtype": "float32", "filters": 32, "kernel_size": [3, 3], "strides": [2, 2], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "name": "conv1", "inbound_nodes": [[["input_3", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "config": {"name": "conv1_bn", "trainable": false, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "name": "conv1_bn", "inbound_nodes": [[["conv1", 0, 0, {}]]]}, {"class_name": "ReLU", "config": {"name": "conv1_relu", "trainable": false, "dtype": "float32", "max_value": 6.0, "negative_slope": 0.0, "threshold": 0.0}, "name": "conv1_relu", "inbound_nodes": [[["conv1_bn", 0, 0, {}]]]}, {"class_name": "DepthwiseConv2D", "config": {"name": "conv_dw_1", "trainable": false, "dtype": "float32", "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "groups": 1, "activation": "linear", "use_bias": 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[3], "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {}}, "gamma_initializer": {"class_name": "Ones", "config": {}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "name": "conv_pw_1_bn", "inbound_nodes": [[["conv_pw_1", 0, 0, {}]]]}, {"class_name": "ReLU", "config": {"name": "conv_pw_1_relu", "trainable": false, "dtype": "float32", "max_value": 6.0, "negative_slope": 0.0, "threshold": 0.0}, "name": "conv_pw_1_relu", "inbound_nodes": [[["conv_pw_1_bn", 0, 0, {}]]]}, {"class_name": "ZeroPadding2D", "config": {"name": "conv_pad_2", "trainable": false, "dtype": "float32", "padding": [[0, 1], [0, 1]], "data_format": "channels_last"}, "name": "conv_pad_2", "inbound_nodes": [[["conv_pw_1_relu", 0, 0, {}]]]}, {"class_name": 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"negative_slope": 0.0, "threshold": 0.0}, "name": "conv_pw_13_relu", "inbound_nodes": [[["conv_pw_13_bn", 0, 0, {}]]]}, {"class_name": "Flatten", "config": {"name": "flatten_2", "trainable": true, "dtype": "float32", "data_format": "channels_last"}, "name": "flatten_2", "inbound_nodes": [[["conv_pw_13_relu", 0, 0, {}]]]}, {"class_name": "Dense", "config": {"name": "dense_3", "trainable": true, "dtype": "float32", "units": 2, "activation": "softmax", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "name": "dense_3", "inbound_nodes": [[["flatten_2", 0, 0, {}]]]}], "input_layers": [["input_3", 0, 0]], "output_layers": [["dense_3", 0, 0]]}, "keras_version": "2.4.0", "backend": "tensorflow"}
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