Flow
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,Activation,Conv2D,MaxPooling2D,Activation,Dropout,Conv2D,Flatten,Dense,Activation,Dense,Activation)

keras.wrappers.scikit_learn.KerasClassifier(Reshape,Conv2D,MaxPooling2D,Activation,Conv2D,MaxPooling2D,Activation,Dropout,Conv2D,Flatten,Dense,Activation,Dense,Activation)

Visibility: public Uploaded 16-06-2018 by Irfan Nur Afif sklearn==0.19.1 numpy>=1.6.1 scipy>=0.9 2 runs
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  • openml-python python scikit-learn sklearn sklearn_0.19.1
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Automatically created scikit-learn flow.

Parameters

batch_sizedefault: 2048
build_fndefault: {"oml-python:serialized_object": "function", "value": "__main__.lenet_fmnist"}
epochsdefault: 1
layer0default: {"class_name": "Reshape", "config": {"batch_input_shape": [null, 784], "dtype": "float32", "name": "reshape_16", "target_shape": [28, 28, 1], "trainable": true}}
layer1default: {"class_name": "Conv2D", "config": {"activation": "linear", "activity_regularizer": null, "batch_input_shape": [null, 1, 28, 28], "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "dtype": "float32", "filters": 6, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [5, 5], "name": "conv2d_3", "padding": "valid", "strides": [1, 1], "trainable": true, "use_bias": true}}
layer10default: {"class_name": "Dense", "config": {"activation": "linear", "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_9", "trainable": true, "units": 84, "use_bias": true}}
layer11default: {"class_name": "Activation", "config": {"activation": "sigmoid", "name": "activation_9", "trainable": true}}
layer12default: {"class_name": "Dense", "config": {"activation": "linear", "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_10", "trainable": true, "units": 10, "use_bias": true}}
layer13default: {"class_name": "Activation", "config": {"activation": "softmax", "name": "activation_10", "trainable": true}}
layer2default: {"class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "name": "max_pooling2d_3", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": true}}
layer3default: {"class_name": "Activation", "config": {"activation": "sigmoid", "name": "activation_7", "trainable": true}}
layer4default: {"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], "filters": 16, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [5, 5], "name": "conv2d_4", "padding": "valid", "strides": [1, 1], "trainable": true, "use_bias": true}}
layer5default: {"class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "name": "max_pooling2d_4", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": true}}
layer6default: {"class_name": "Activation", "config": {"activation": "sigmoid", "name": "activation_8", "trainable": true}}
layer7default: {"class_name": "Dropout", "config": {"name": "dropout_1", "noise_shape": null, "rate": 0.5, "seed": null, "trainable": true}}
layer8default: {"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], "filters": 120, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [1, 1], "name": "conv2d_5", "padding": "valid", "strides": [1, 1], "trainable": true, "use_bias": true}}
layer9default: {"class_name": "Flatten", "config": {"data_format": "channels_last", "name": "flatten_2", "trainable": true}}
verbosedefault: 1

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