model.json

{"class_name": "Model", "keras_version": "2.1.6", "config": {"layers": [{"class_name": "InputLayer", "config": {"dtype": "float32", "batch_input_shape": [null, 28, 28, 1], "name": "input_1", "sparse": false}, "inbound_nodes": [], "name": "input_1"}, {"class_name": "Conv2D", "config": {"kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "scale": 1.0, "seed": null, "mode": "fan_avg"}}, "name": "conv2d_1", "bias_regularizer": null, "bias_constraint": null, "activation": "relu", "trainable": true, "data_format": "channels_last", "padding": "same", "strides": [1, 1], "dilation_rate": [1, 1], "kernel_regularizer": null, "filters": 8, "bias_initializer": {"class_name": "Zeros", "config": {}}, "use_bias": true, "activity_regularizer": null, "kernel_size": [3, 3]}, "inbound_nodes": [[["input_1", 0, 0, {}]]], "name": "conv2d_1"}, {"class_name": "MaxPooling2D", "config": {"name": "max_pooling2d_1", "trainable": true, "data_format": "channels_last", "pool_size": [2, 2], "padding": "valid", "strides": [2, 2]}, "inbound_nodes": [[["conv2d_1", 0, 0, {}]]], "name": "max_pooling2d_1"}, {"class_name": "Conv2D", "config": {"kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "scale": 1.0, "seed": null, "mode": "fan_avg"}}, "name": "conv2d_2", "bias_regularizer": null, "bias_constraint": null, "activation": "relu", "trainable": true, "data_format": "channels_last", "padding": "same", "strides": [1, 1], "dilation_rate": [1, 1], "kernel_regularizer": null, "filters": 16, "bias_initializer": {"class_name": "Zeros", "config": {}}, "use_bias": true, "activity_regularizer": null, "kernel_size": [3, 3]}, "inbound_nodes": [[["max_pooling2d_1", 0, 0, {}]]], "name": "conv2d_2"}, {"class_name": "MaxPooling2D", "config": {"name": "max_pooling2d_2", "trainable": true, "data_format": "channels_last", "pool_size": [2, 2], "padding": "valid", "strides": [2, 2]}, "inbound_nodes": [[["conv2d_2", 0, 0, {}]]], "name": "max_pooling2d_2"}, {"class_name": "Conv2D", "config": {"kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "scale": 1.0, "seed": null, "mode": "fan_avg"}}, "name": "conv2d_3", "bias_regularizer": null, "bias_constraint": null, "activation": "relu", "trainable": true, "data_format": "channels_last", "padding": "same", "strides": [1, 1], "dilation_rate": [1, 1], "kernel_regularizer": null, "filters": 32, "bias_initializer": {"class_name": "Zeros", "config": {}}, "use_bias": true, "activity_regularizer": null, "kernel_size": [3, 3]}, "inbound_nodes": [[["max_pooling2d_2", 0, 0, {}]]], "name": "conv2d_3"}, {"class_name": "Conv2D", "config": {"kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "scale": 1.0, "seed": null, "mode": "fan_avg"}}, "name": "conv2d_4", "bias_regularizer": null, "bias_constraint": null, "activation": "relu", "trainable": true, "data_format": "channels_last", "padding": "same", "strides": [1, 1], "dilation_rate": [1, 1], "kernel_regularizer": null, "filters": 32, "bias_initializer": {"class_name": "Zeros", "config": {}}, "use_bias": true, "activity_regularizer": null, "kernel_size": [3, 3]}, "inbound_nodes": [[["conv2d_3", 0, 0, {}]]], "name": "conv2d_4"}, {"class_name": "UpSampling2D", "config": {"trainable": true, "data_format": "channels_last", "name": "up_sampling2d_1", "size": [2, 2]}, "inbound_nodes": [[["conv2d_4", 0, 0, {}]]], "name": "up_sampling2d_1"}, {"class_name": "Conv2D", "config": {"kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "scale": 1.0, "seed": null, "mode": "fan_avg"}}, "name": "conv2d_5", "bias_regularizer": null, "bias_constraint": null, "activation": "relu", "trainable": true, "data_format": "channels_last", "padding": "same", "strides": [1, 1], "dilation_rate": [1, 1], "kernel_regularizer": null, "filters": 16, "bias_initializer": {"class_name": "Zeros", "config": {}}, "use_bias": true, "activity_regularizer": null, "kernel_size": [3, 3]}, "inbound_nodes": [[["up_sampling2d_1", 0, 0, {}]]], "name": "conv2d_5"}, {"class_name": "UpSampling2D", "config": {"trainable": true, "data_format": "channels_last", "name": "up_sampling2d_2", "size": [2, 2]}, "inbound_nodes": [[["conv2d_5", 0, 0, {}]]], "name": "up_sampling2d_2"}, {"class_name": "Conv2D", "config": {"kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "scale": 1.0, "seed": null, "mode": "fan_avg"}}, "name": "conv2d_6", "bias_regularizer": null, "bias_constraint": null, "activation": "sigmoid", "trainable": true, "data_format": "channels_last", "padding": "same", "strides": [1, 1], "dilation_rate": [1, 1], "kernel_regularizer": null, "filters": 1, "bias_initializer": {"class_name": "Zeros", "config": {}}, "use_bias": true, "activity_regularizer": null, "kernel_size": [3, 3]}, "inbound_nodes": [[["up_sampling2d_2", 0, 0, {}]]], "name": "conv2d_6"}], "input_layers": [["input_1", 0, 0]], "output_layers": [["conv2d_6", 0, 0]], "name": "model_1"}, "backend": "tensorflow"}