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model_feat4.json
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{"class_name": "Model", "config": {"name": "model_3", "layers": [{"name": "input_3", "class_name": "InputLayer", "config": {"batch_input_shape": [null, 48, 48, 1], "dtype": "float32", "sparse": false, "name": "input_3"}, "inbound_nodes": []}, {"name": "conv2d_15", "class_name": "Conv2D", "config": {"name": "conv2d_15", "trainable": true, "dtype": "float32", "filters": 64, "kernel_size": [7, 7], "strides": [2, 2], "padding": "valid", "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": [[["input_3", 0, 0, {}]]]}, {"name": "max_pooling2d_11", "class_name": "MaxPooling2D", "config": {"name": "max_pooling2d_11", "trainable": true, "dtype": "float32", "pool_size": [3, 3], "padding": "valid", "strides": [2, 2], "data_format": "channels_last"}, "inbound_nodes": [[["conv2d_15", 0, 0, {}]]]}, {"name": "batch_normalization_3", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_3", "trainable": true, "dtype": "float32", "axis": -1, "momentum": 0.99, "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}, "inbound_nodes": [[["max_pooling2d_11", 0, 0, {}]]]}, {"name": "conv2d_16", "class_name": "Conv2D", "config": {"name": "conv2d_16", "trainable": true, "dtype": "float32", "filters": 96, "kernel_size": [1, 1], "strides": [1, 1], "padding": "valid", "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": [[["batch_normalization_3", 0, 0, {}]]]}, {"name": "max_pooling2d_12", "class_name": "MaxPooling2D", "config": {"name": "max_pooling2d_12", "trainable": true, "dtype": "float32", "pool_size": [3, 3], "padding": "same", "strides": [1, 1], "data_format": "channels_last"}, "inbound_nodes": [[["batch_normalization_3", 0, 0, {}]]]}, {"name": "conv2d_17", "class_name": "Conv2D", "config": {"name": "conv2d_17", "trainable": true, "dtype": "float32", "filters": 208, "kernel_size": [1, 1], "strides": [1, 1], "padding": "valid", "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": [[["conv2d_16", 0, 0, {}]]]}, {"name": "conv2d_18", "class_name": "Conv2D", "config": {"name": "conv2d_18", "trainable": true, "dtype": "float32", "filters": 64, "kernel_size": [1, 1], "strides": [1, 1], "padding": "valid", "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": [[["max_pooling2d_12", 0, 0, {}]]]}, {"name": "concatenate_5", "class_name": "Concatenate", "config": {"name": "concatenate_5", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv2d_17", 0, 0, {}], ["conv2d_18", 0, 0, {}]]]}, {"name": "max_pooling2d_13", "class_name": "MaxPooling2D", "config": {"name": "max_pooling2d_13", "trainable": true, "dtype": "float32", "pool_size": [3, 3], "padding": "valid", "strides": [2, 2], "data_format": "channels_last"}, "inbound_nodes": [[["concatenate_5", 0, 0, {}]]]}, {"name": "max_pooling2d_14", "class_name": "MaxPooling2D", "config": {"name": "max_pooling2d_14", "trainable": true, "dtype": "float32", "pool_size": [3, 3], "padding": "same", "strides": [1, 1], "data_format": "channels_last"}, "inbound_nodes": [[["max_pooling2d_13", 0, 0, {}]]]}, {"name": "conv2d_19", "class_name": "Conv2D", "config": {"name": "conv2d_19", "trainable": true, "dtype": "float32", "filters": 96, "kernel_size": [1, 1], "strides": [1, 1], "padding": "valid", "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": [[["max_pooling2d_13", 0, 0, {}]]]}, {"name": "conv2d_21", "class_name": "Conv2D", "config": {"name": "conv2d_21", "trainable": true, "dtype": "float32", "filters": 64, "kernel_size": [1, 1], "strides": [1, 1], "padding": "valid", "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": [[["max_pooling2d_14", 0, 0, {}]]]}, {"name": "conv2d_20", "class_name": "Conv2D", "config": {"name": "conv2d_20", "trainable": true, "dtype": "float32", "filters": 96, "kernel_size": [1, 1], "strides": [1, 1], "padding": "valid", "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": [[["conv2d_19", 0, 0, {}]]]}, {"name": "concatenate_6", "class_name": "Concatenate", "config": {"name": "concatenate_6", "trainable": true, "dtype": "float32", "axis": 3}, "inbound_nodes": [[["conv2d_21", 0, 0, {}], ["conv2d_20", 0, 0, {}]]]}, {"name": "max_pooling2d_15", "class_name": "MaxPooling2D", "config": {"name": "max_pooling2d_15", "trainable": true, "dtype": "float32", "pool_size": [3, 3], "padding": "valid", "strides": [2, 2], "data_format": "channels_last"}, "inbound_nodes": [[["concatenate_6", 0, 0, {}]]]}, {"name": "flatten_3", "class_name": "Flatten", "config": {"name": "flatten_3", "trainable": true, "dtype": "float32", "data_format": "channels_last"}, "inbound_nodes": [[["max_pooling2d_15", 0, 0, {}]]]}, {"name": "dense_3", "class_name": "Dense", "config": {"name": "dense_3", "trainable": true, "dtype": "float32", "units": 6, "activation": "softmax", "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": [[["flatten_3", 0, 0, {}]]]}], "input_layers": [["input_3", 0, 0]], "output_layers": [["dense_3", 0, 0]]}, "keras_version": "2.3.1", "backend": "tensorflow"}