model.json

{"class_name": "Model", "config": {"name": "model", "layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 105, 105, 1], "dtype": "float32", "sparse": false, "ragged": false, "name": "input_1"}, "name": "input_1", "inbound_nodes": []}, {"class_name": "InputLayer", "config": {"batch_input_shape": [null, 105, 105, 1], "dtype": "float32", "sparse": false, "ragged": false, "name": "input_2"}, "name": "input_2", "inbound_nodes": []}, {"class_name": "Sequential", "config": {"name": "sequential", "layers": [{"class_name": "Conv2D", "config": {"name": "conv2d", "trainable": true, "batch_input_shape": [null, 105, 105, 1], "dtype": "float32", "filters": 64, "kernel_size": [10, 10], "strides": [1, 1], "padding": "valid", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "RandomNormal", "config": {"mean": 0, "stddev": 0.01, "seed": null}}, "bias_initializer": {"class_name": "RandomNormal", "config": {"mean": 0.5, "stddev": 0.01, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 0.00019999999494757503}}, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}, {"class_name": "MaxPooling2D", "config": {"name": "max_pooling2d", "trainable": true, "dtype": "float32", "pool_size": [2, 2], "padding": "valid", "strides": [2, 2], "data_format": "channels_last"}}, {"class_name": "Conv2D", "config": {"name": "conv2d_1", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": [7, 7], "strides": [1, 1], "padding": "valid", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "RandomNormal", "config": {"mean": 0, "stddev": 0.01, "seed": null}}, "bias_initializer": {"class_name": "RandomNormal", "config": {"mean": 0.5, "stddev": 0.01, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 0.00019999999494757503}}, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}, {"class_name": "MaxPooling2D", "config": {"name": "max_pooling2d_1", "trainable": true, "dtype": "float32", "pool_size": [2, 2], "padding": "valid", "strides": [2, 2], "data_format": "channels_last"}}, {"class_name": "Conv2D", "config": {"name": "conv2d_2", "trainable": true, "dtype": "float32", "filters": 128, "kernel_size": [4, 4], "strides": [1, 1], "padding": "valid", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "RandomNormal", "config": {"mean": 0, "stddev": 0.01, "seed": null}}, "bias_initializer": {"class_name": "RandomNormal", "config": {"mean": 0.5, "stddev": 0.01, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 0.00019999999494757503}}, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}, {"class_name": "MaxPooling2D", "config": {"name": "max_pooling2d_2", "trainable": true, "dtype": "float32", "pool_size": [2, 2], "padding": "valid", "strides": [2, 2], "data_format": "channels_last"}}, {"class_name": "Conv2D", "config": {"name": "conv2d_3", "trainable": true, "dtype": "float32", "filters": 256, "kernel_size": [4, 4], "strides": [1, 1], "padding": "valid", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "RandomNormal", "config": {"mean": 0, "stddev": 0.01, "seed": null}}, "bias_initializer": {"class_name": "RandomNormal", "config": {"mean": 0.5, "stddev": 0.01, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 0.00019999999494757503}}, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}, {"class_name": "Flatten", "config": {"name": "flatten", "trainable": true, "dtype": "float32", "data_format": "channels_last"}}, {"class_name": "Dense", "config": {"name": "dense", "trainable": true, "dtype": "float32", "units": 4096, "activation": "sigmoid", "use_bias": true, "kernel_initializer": {"class_name": "RandomNormal", "config": {"mean": 0, "stddev": 0.2, "seed": null}}, "bias_initializer": {"class_name": "RandomNormal", "config": {"mean": 0.5, "stddev": 0.01, "seed": null}}, "kernel_regularizer": {"class_name": "L1L2", "config": {"l1": 0.0, "l2": 0.0010000000474974513}}, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}], "build_input_shape": [null, 105, 105, 1]}, "name": "sequential", "inbound_nodes": [[["input_1", 0, 0, {}]], [["input_2", 0, 0, {}]]]}, {"class_name": "Lambda", "config": {"name": "lambda", "trainable": true, "dtype": "float32", "function": ["4wEAAAAAAAAABQAAAAUAAABDAAAAczYAAAB8AC8CfQF9AnQAagF0AKACfAF8AhgAoQFkAWQCZAON\nA30DdACgA3wDdACgBKEAoQJ9BHwEUwApBE7pAQAAAFQpAtoEYXhpc9oIa2VlcGRpbXMpBdoBS9oD\nc3Vt2gZzcXVhcmXaB21heGltdW3aB2Vwc2lsb24pBdoEdmVjdNoBeNoBedoKc3VtX3NxdWFyZdoG\ncmVzdWx0qQByDgAAAPoQc2lhbWVzZV90cmFpbi5wedoOZXVjbGlkZWFuX2Rpc3SCAAAAcwgAAAAA\nAQgBGgEQAQ==\n", null, null], "function_type": "lambda", "module": "__main__", "output_shape": null, "output_shape_type": "raw", "output_shape_module": null, "arguments": {}}, "name": "lambda", "inbound_nodes": [[["sequential", 1, 0, {}], ["sequential", 2, 0, {}]]]}, {"class_name": "Dense", "config": {"name": "dense_1", "trainable": true, "dtype": "float32", "units": 1, "activation": "sigmoid", "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_1", "inbound_nodes": [[["lambda", 0, 0, {}]]]}], "input_layers": [["input_1", 0, 0], ["input_2", 0, 0]], "output_layers": [["dense_1", 0, 0]]}, "keras_version": "2.3.0-tf", "backend": "tensorflow"}