my_model.json

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"config": {"name": "block4_conv1", "trainable": false, "dtype": "float32", "filters": 512, "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["block3_pool", 0, 0, {}]]]}, {"name": "block4_conv2", "class_name": "Conv2D", "config": {"name": "block4_conv2", "trainable": false, "dtype": "float32", "filters": 512, "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "VarianceScaling", "config": 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0, {}]]]}, {"name": "block4_pool", "class_name": "MaxPooling2D", "config": {"name": "block4_pool", "trainable": false, "dtype": "float32", "pool_size": [2, 2], "padding": "valid", "strides": [2, 2], "data_format": "channels_last"}, "inbound_nodes": [[["block4_conv3", 0, 0, {}]]]}, {"name": "block5_conv1", "class_name": "Conv2D", "config": {"name": "block5_conv1", "trainable": false, "dtype": "float32", "filters": 512, "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["block4_pool", 0, 0, {}]]]}, {"name": "block5_conv2", "class_name": "Conv2D", "config": {"name": "block5_conv2", "trainable": false, "dtype": "float32", "filters": 512, "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["block5_conv1", 0, 0, {}]]]}, {"name": "block5_conv3", "class_name": "Conv2D", "config": {"name": "block5_conv3", "trainable": false, "dtype": "float32", "filters": 512, "kernel_size": [3, 3], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": 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