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keras.engine.training.Model.C66978AE16DBB05B

keras.engine.training.Model.C66978AE16DBB05B

Visibility: public Uploaded 02-05-2019 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"
input_layersdefault: [["input_1", 0, 0]]
layer0_input_1default: {"class_name": "InputLayer", "config": {"batch_input_shape": [null, 784], "dtype": "float32", "name": "input_1", "sparse": false}, "inbound_nodes": [], "name": "input_1"}
layer1_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": {}}, "name": "batch_normalization_1", "scale": true, "trainable": true}, "inbound_nodes": [[["input_1", 0, 0, {}]]], "name": "batch_normalization_1"}
layer2_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, "name": "dense_1", "trainable": true, "units": 64, "use_bias": true}, "inbound_nodes": [[["batch_normalization_1", 0, 0, {}]]], "name": "dense_1"}
layer3_dense_2default: {"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_2", "trainable": true, "units": 64, "use_bias": true}, "inbound_nodes": [[["dense_1", 0, 0, {}]]], "name": "dense_2"}
layer4_dense_3default: {"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_3", "trainable": true, "units": 10, "use_bias": true}, "inbound_nodes": [[["dense_2", 0, 0, {}]]], "name": "dense_3"}
namedefault: "model_1"
output_layersdefault: [["dense_3", 0, 0]]

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