| backend | | default: "tensorflow" |
| class_name | | default: "Sequential" |
| config | | default: {"name": "sequential"} |
| layer00_reshape | | default: {"class_name": "Reshape", "config": {"dtype": "float32", "name": "reshape", "target_shape": [32, 32, 3], "trainable": true}} |
| layer01_conv2d | | default: {"class_name": "Conv2D", "config": {"activation": "linear", "activity_regularizer": null, "batch_input_shape": [null, 32, 32, 3], "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "dtype": "float32", "filters": 32, "kernel_constraint": null, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "kernel_regularizer": null, "kernel_size": [3, 3], "name": "conv2d", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}} |
| layer02_dropout | | default: {"class_name": "Dropout", "config": {"dtype": "float32", "name": "dropout", "noise_shape": null, "rate": 0.25, "seed": null, "trainable": true}} |
| layer03_conv2d_1 | | default: {"class_name": "Conv2D", "config": {"activation": "linear", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "dtype": "float32", "filters": 64, "kernel_constraint": null, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "kernel_regularizer": null, "kernel_size": [3, 3], "name": "conv2d_1", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}} |
| layer04_conv2d_2 | | default: {"class_name": "Conv2D", "config": {"activation": "linear", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "dtype": "float32", "filters": 64, "kernel_constraint": null, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "kernel_regularizer": null, "kernel_size": [3, 3], "name": "conv2d_2", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}} |
| layer05_max_pooling2d | | default: {"class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "max_pooling2d", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": true}} |
| layer06_dropout_1 | | default: {"class_name": "Dropout", "config": {"dtype": "float32", "name": "dropout_1", "noise_shape": null, "rate": 0.25, "seed": null, "trainable": true}} |
| layer07_conv2d_3 | | default: {"class_name": "Conv2D", "config": {"activation": "linear", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "dtype": "float32", "filters": 32, "kernel_constraint": null, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "kernel_regularizer": null, "kernel_size": [3, 3], "name": "conv2d_3", "padding": "same", "strides": [1, 1], "trainable": true, "use_bias": true}} |
| layer08_max_pooling2d_1 | | default: {"class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "dtype": "float32", "name": "max_pooling2d_1", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": true}} |
| layer09_dropout_2 | | default: {"class_name": "Dropout", "config": {"dtype": "float32", "name": "dropout_2", "noise_shape": null, "rate": 0.25, "seed": null, "trainable": true}} |
| layer10_flatten | | default: {"class_name": "Flatten", "config": {"data_format": "channels_last", "dtype": "float32", "name": "flatten", "trainable": true}} |
| layer11_dense | | default: {"class_name": "Dense", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "dtype": "float32", "kernel_constraint": null, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "kernel_regularizer": null, "name": "dense", "trainable": true, "units": 1024, "use_bias": true}} |
| layer12_dropout_3 | | default: {"class_name": "Dropout", "config": {"dtype": "float32", "name": "dropout_3", "noise_shape": null, "rate": 0.4, "seed": null, "trainable": true}} |
| layer13_dense_1 | | default: {"class_name": "Dense", "config": {"activation": "softmax", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "dtype": "float32", "kernel_constraint": null, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "kernel_regularizer": null, "name": "dense_1", "trainable": true, "units": 10, "use_bias": true}} |
| optimizer | | default: {"loss": "sparse_categorical_crossentropy", "metrics": [], "optimizer_config": {"class_name": "Adam", "config": {"amsgrad": false, "beta_1": 0.9, "beta_2": 0.999, "decay": 0.0, "epsilon": 1e-07, "learning_rate": 0.001, "name": "Adam"}}, "weighted_metrics": []} |
| tensorflow_version | | default: "2.2.0" |