| keras.engine.sequential.Sequential.A79E65CF77203B19(1) | Automatically created keras flow. |
| keras.engine.sequential.Sequential.A79E65CF77203B19(1)_backend | "tensorflow" |
| keras.engine.sequential.Sequential.A79E65CF77203B19(1)_class_name | "Sequential" |
| keras.engine.sequential.Sequential.A79E65CF77203B19(1)_config | {"name": "sequential_1"} |
| keras.engine.sequential.Sequential.A79E65CF77203B19(1)_keras_version | "2.2.4" |
| keras.engine.sequential.Sequential.A79E65CF77203B19(1)_layer0_batch_normalization_1 | {"class_name": "BatchNormalization", "config": {"axis": -1, "beta_constraint": null, "beta_initializer": {"class_name": "Zeros", "config": {}}, "beta_regularizer": null, "center": true, "epsilon": 0.001, "gamma_constraint": null, "gamma_initializer": {"class_name": "Ones", "config": {}}, "gamma_regularizer": null, "momentum": 0.99, "moving_mean_initializer": {"class_name": "Zeros", "config": {}}, "moving_variance_initializer": {"class_name": "Ones", "config": {}}, "name": "batch_normalization_1", "scale": true, "trainable": true}} |
| keras.engine.sequential.Sequential.A79E65CF77203B19(1)_layer1_dense_1 | {"class_name": "Dense", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "name": "dense_1", "trainable": true, "units": 1024, "use_bias": true}} |
| keras.engine.sequential.Sequential.A79E65CF77203B19(1)_layer2_dropout_1 | {"class_name": "Dropout", "config": {"name": "dropout_1", "noise_shape": null, "rate": 0.4, "seed": null, "trainable": true}} |
| keras.engine.sequential.Sequential.A79E65CF77203B19(1)_layer3_dense_2 | {"class_name": "Dense", "config": {"activation": "softmax", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "name": "dense_2", "trainable": true, "units": 2, "use_bias": true}} |
| keras.engine.sequential.Sequential.A79E65CF77203B19(1)_optimizer | {"loss": "sparse_categorical_crossentropy", "loss_weights": null, "metrics": ["accuracy"], "optimizer_config": {"class_name": "Adam", "config": {"amsgrad": false, "beta_1": 0.8999999761581421, "beta_2": 0.9990000128746033, "decay": 0.0, "epsilon": 1e-07, "lr": 0.0010000000474974513}}, "sample_weight_mode": null, "weighted_metrics": null} |