| backend | | default: "tensorflow" |
| class_name | | default: "Model" |
| config | | default: {"name": "model_1", "input_layers": [["input_1", 0, 0]], "output_layers": [["dense_4", 0, 0]]} |
| keras_version | | default: "2.2.4" |
| layer0_input_1 | | default: {"name": "input_1", "class_name": "InputLayer", "config": {"batch_input_shape": [null, 20], "dtype": "float32", "sparse": false, "name": "input_1"}, "inbound_nodes": []} |
| layer1_batch_normalization_1 | | default: {"name": "batch_normalization_1", "class_name": "BatchNormalization", "config": {"name": "batch_normalization_1", "trainable": true, "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": [[["input_1", 0, 0, {}]]]} |
| layer2_dense_1 | | default: {"name": "dense_1", "class_name": "Dense", "config": {"name": "dense_1", "trainable": true, "units": 64, "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_1", 0, 0, {}]]]} |
| layer3_dense_2 | | default: {"name": "dense_2", "class_name": "Dense", "config": {"name": "dense_2", "trainable": true, "units": 64, "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_1", 0, 0, {}]]]} |
| layer4_concatenate_1 | | default: {"name": "concatenate_1", "class_name": "Concatenate", "config": {"name": "concatenate_1", "trainable": true, "axis": -1}, "inbound_nodes": [[["dense_1", 0, 0, {}], ["dense_2", 0, 0, {}]]]} |
| layer5_dense_3 | | default: {"name": "dense_3", "class_name": "Dense", "config": {"name": "dense_3", "trainable": true, "units": 64, "activation": "sigmoid", "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": [[["concatenate_1", 0, 0, {}]]]} |
| layer6_dropout_1 | | default: {"name": "dropout_1", "class_name": "Dropout", "config": {"name": "dropout_1", "trainable": true, "rate": 0.25, "noise_shape": null, "seed": null}, "inbound_nodes": [[["dense_3", 0, 0, {}]]]} |
| layer7_dense_4 | | default: {"name": "dense_4", "class_name": "Dense", "config": {"name": "dense_4", "trainable": true, "units": 2, "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": [[["dropout_1", 0, 0, {}]]]} |
| optimizer | | default: {"optimizer_config": {"class_name": "Adam", "config": {"lr": 0.0010000000474974513, "beta_1": 0.8999999761581421, "beta_2": 0.9990000128746033, "decay": 0.0, "epsilon": 1e-07, "amsgrad": false}}, "loss": "sparse_categorical_crossentropy", "metrics": ["accuracy"], "weighted_metrics": null, "sample_weight_mode": null, "loss_weights": null} |