OpenML
keras.engine.sequential.Sequential(batch_normalization_1,dense_1,dropout_1,dense_2)

keras.engine.sequential.Sequential(batch_normalization_1,dense_1,dropout_1,dense_2)

Visibility: public Uploaded 01-05-2019 by Adrian-Stefan Mares keras==2.2.4 numpy>=1.6.1 scipy>=0.9 1 runs
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  • keras keras_2.2.4 openml-python python
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Automatically created keras flow.

Parameters

backenddefault: "tensorflow"
class_namedefault: "Sequential"
keras_versiondefault: "2.2.4"
layer0_batch_normalization_1default: {"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": {}}, "scale": true, "trainable": true}}
layer1_dense_1default: {"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, "trainable": true, "units": 128, "use_bias": true}}
layer2_dropout_1default: {"class_name": "Dropout", "config": {"noise_shape": null, "rate": 0.4, "seed": null, "trainable": true}}
layer3_dense_2default: {"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, "trainable": true, "units": 10, "use_bias": true}}

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