model.json

{"class_name": "Sequential", "config": {"name": "sequential_9", "layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 216, 12, 1], "dtype": "float32", "sparse": false, "ragged": false, "name": "conv2d_13_input"}}, {"class_name": "Conv2D", "config": {"name": "conv2d_13", "trainable": true, "batch_input_shape": [null, 216, 12, 1], "dtype": "float32", "filters": 20, "kernel_size": [5, 5], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "groups": 1, "activation": "linear", "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}}, {"class_name": "Activation", "config": {"name": "activation_31", "trainable": true, "dtype": "float32", "activation": "relu"}}, {"class_name": "Dropout", "config": {"name": "dropout_1", "trainable": true, "dtype": "float32", "rate": 0.1, "noise_shape": null, "seed": null}}, {"class_name": "Conv2D", "config": {"name": "conv2d_14", "trainable": true, "dtype": "float32", "filters": 10, "kernel_size": [5, 5], "strides": [1, 1], "padding": "same", "data_format": "channels_last", "dilation_rate": [1, 1], "groups": 1, "activation": "linear", "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}}, {"class_name": "Activation", "config": {"name": "activation_32", "trainable": true, "dtype": "float32", "activation": "relu"}}, {"class_name": "MaxPooling2D", "config": {"name": "max_pooling2d_9", "trainable": true, "dtype": "float32", "pool_size": [2, 2], "padding": "valid", "strides": [2, 2], "data_format": "channels_last"}}, {"class_name": "Flatten", "config": {"name": "flatten_9", "trainable": true, "dtype": "float32", "data_format": "channels_last"}}, {"class_name": "Dense", "config": {"name": "dense_18", "trainable": true, "dtype": "float32", "units": 1000, "activation": "linear", "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}}, {"class_name": "Activation", "config": {"name": "activation_33", "trainable": true, "dtype": "float32", "activation": "relu"}}, {"class_name": "Dense", "config": {"name": "dense_19", "trainable": true, "dtype": "float32", "units": 7, "activation": "linear", "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}}, {"class_name": "Activation", "config": {"name": "activation_34", "trainable": true, "dtype": "float32", "activation": "softmax"}}]}, "keras_version": "2.4.0", "backend": "tensorflow"}