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model.json
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{"class_name": "Model", "config": {"name": "model_1", "layers": [{"name": "input_1", "class_name": "InputLayer", "config": {"batch_input_shape": [null, 224, 224, 3], "dtype": "float32", "sparse": false, "name": "input_1"}, "inbound_nodes": []}, {"name": "conv1_pad", "class_name": "ZeroPadding2D", "config": {"name": "conv1_pad", "trainable": true, "dtype": "float32", "padding": [[3, 3], [3, 3]], "data_format": "channels_last"}, "inbound_nodes": [[["input_1", 0, 0, {}]]]}, {"name": "conv1", "class_name": "Conv2D", "config": {"name": "conv1", "trainable": true, "dtype": "float32", "filters": 64, "kernel_size": [7, 7], "strides": [2, 2], "padding": "valid", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": true, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 2.0, "mode": "fan_in", "distribution": "truncated_normal", "seed": null, "dtype": "float32"}}, "bias_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["conv1_pad", 0, 0, {}]]]}, {"name": "bn_conv1", "class_name": "BatchNormalization", "config": {"name": "bn_conv1", "trainable": true, "dtype": "float32", "axis": [3], "momentum": 0.99, "epsilon": 0.001, "center": true, "scale": true, "beta_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "gamma_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "moving_mean_initializer": {"class_name": "Zeros", "config": {"dtype": "float32"}}, "moving_variance_initializer": {"class_name": "Ones", "config": {"dtype": "float32"}}, "beta_regularizer": null, "gamma_regularizer": null, "beta_constraint": null, "gamma_constraint": null}, "inbound_nodes": [[["conv1", 0, 0, {}]]]}, {"name": "activation", "class_name": "Activation", "config": {"name": "activation", "trainable": true, "dtype": "float32", "activation": "relu"}, "inbound_nodes": [[["bn_conv1", 0, 0, {}]]]}, {"name": "pool1_pad", "class_name": "ZeroPadding2D", "config": {"name": "pool1_pad", "trainable": true, "dtype": "float32", "padding": [[1, 1], [1, 1]], "data_format": "channels_last"}, "inbound_nodes": [[["activation", 0, 0, {}]]]}, {"name": "max_pooling2d", "class_name": "MaxPooling2D", "config": {"name": "max_pooling2d", "trainable": true, "dtype": "float32", "pool_size": [3, 3], "padding": "valid", "strides": [2, 2], "data_format": "channels_last"}, "inbound_nodes": [[["pool1_pad", 0, 0, {}]]]}, {"name": "res2a_branch2a", "class_name": "Conv2D", "config": {"name": "res2a_branch2a", "trainable": true, "dtype": "float32", "filters": 64, "kernel_size": [1, 1], "strides": [1, 1], "padding": "valid", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": true, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 2.0, "mode": "fan_in", "distribution": 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