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model.json
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model.json
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{"class_name": "Sequential", "config": {"name": "sequential", "layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 96, 96, 3], "dtype": "float32", "sparse": false, "ragged": false, "name": "mobilenetv2_1.00_96_input"}}, {"class_name": "Functional", "config": {"name": "mobilenetv2_1.00_96", "layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 96, 96, 3], "dtype": "float32", "sparse": false, "ragged": false, "name": "input_1"}, "name": "input_1", "inbound_nodes": []}, {"class_name": "Conv2D", "config": {"name": "Conv1", "trainable": true, "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_1", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "config": {"name": "bn_Conv1", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "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": "bn_Conv1", "inbound_nodes": [[["Conv1", 0, 0, {}]]]}, {"class_name": "ReLU", "config": {"name": "Conv1_relu", "trainable": true, "dtype": "float32", "max_value": 6.0, "negative_slope": 0.0, "threshold": 0.0}, "name": "Conv1_relu", "inbound_nodes": [[["bn_Conv1", 0, 0, {}]]]}, {"class_name": 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"block_1_expand", "trainable": true, "dtype": "float32", "filters": 96, "kernel_size": [1, 1], "strides": [1, 1], "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": "block_1_expand", "inbound_nodes": [[["expanded_conv_project_BN", 0, 0, {}]]]}, {"class_name": "BatchNormalization", "config": {"name": "block_1_expand_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "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": {}}, 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{"class_name": "BatchNormalization", "config": {"name": "block_1_project_BN", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.999, "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": "block_1_project_BN", "inbound_nodes": [[["block_1_project", 0, 0, {}]]]}, {"class_name": "Conv2D", "config": {"name": "block_2_expand", "trainable": true, "dtype": "float32", "filters": 144, "kernel_size": [1, 1], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "groups": 1, "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "GlorotUniform", "config": 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