OpenML
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Lambda,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Flatten,Dense,Dropout,Dense,Dropout,Dense)

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

Visibility: public Uploaded 08-07-2018 by Irfan Nur Afif sklearn==0.19.1 numpy>=1.6.1 scipy>=0.9 7 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: 128
build_fndefault: {"oml-python:serialized_object": "function", "value": "__main__.vggnet_svhn_emnist_5_128_False"}
epochsdefault: 5
layer0default: {"class_name": "Reshape", "config": {"batch_input_shape": [null, 3072], "dtype": "float32", "name": "reshape_2", "target_shape": [32, 32, 3], "trainable": true}}
layer1default: {"class_name": "Lambda", "config": {"arguments": {}, "function": ["4wEAAAAAAAAAAQAAAAgAAABDAAAAc2wAAABkAXwAZABkAIUCZABkAIUCZABkAIUCZABkAoUCZgQZ\nABQAZAN8AGQAZACFAmQAZACFAmQAZACFAmQCZASFAmYEGQAUABcAZAV8AGQAZACFAmQAZACFAmQA\nZACFAmQGZACFAmYEGQAUABcAUwApB05n4XoUrkfhyj/pAQAAAGcK16NwPQrnP+kCAAAAZ+xRuB6F\n67E/6f////+pACkB2gF4cgQAAAByBAAAAPoePGlweXRob24taW5wdXQtMi1kZmE4ZjU4MDc5YmY+\n2hRjb252ZXJ0X2NvbG9yX3RvX3JnYiQAAABzAgAAAAAC\n", null, null], "function_type": "lambda", "name": "lambda_reshape", "output_shape": null, "output_shape_type": "raw", "trainable": true}}
layer10default: {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 256, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [3, 3], "name": "conv2d_12", "padding": "same", "strides": [1, 1], "trainable": false, "use_bias": true}}
layer11default: {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 256, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [3, 3], "name": "conv2d_13", "padding": "same", "strides": [1, 1], "trainable": false, "use_bias": true}}
layer12default: {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 256, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [3, 3], "name": "conv2d_14", "padding": "same", "strides": [1, 1], "trainable": false, "use_bias": true}}
layer13default: {"class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "name": "max_pooling2d_6", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": false}}
layer14default: {"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_6", "scale": true, "trainable": false}}
layer15default: {"class_name": "Flatten", "config": {"data_format": "channels_last", "name": "flatten_2", "trainable": false}}
layer16default: {"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_4", "trainable": true, "units": 4096, "use_bias": true}}
layer17default: {"class_name": "Dropout", "config": {"name": "dropout_3", "noise_shape": null, "rate": 0.5, "seed": null, "trainable": false}}
layer18default: {"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_5", "trainable": true, "units": 4096, "use_bias": true}}
layer19default: {"class_name": "Dropout", "config": {"name": "dropout_4", "noise_shape": null, "rate": 0.5, "seed": null, "trainable": false}}
layer2default: {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 64, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [3, 3], "name": "conv2d_8", "padding": "same", "strides": [1, 1], "trainable": false, "use_bias": true}}
layer20default: {"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_6", "trainable": true, "units": 10, "use_bias": true}}
layer3default: {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 64, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [3, 3], "name": "conv2d_9", "padding": "same", "strides": [1, 1], "trainable": false, "use_bias": true}}
layer4default: {"class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "name": "max_pooling2d_4", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": false}}
layer5default: {"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_4", "scale": true, "trainable": false}}
layer6default: {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 128, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [3, 3], "name": "conv2d_10", "padding": "same", "strides": [1, 1], "trainable": false, "use_bias": true}}
layer7default: {"class_name": "Conv2D", "config": {"activation": "relu", "activity_regularizer": null, "bias_constraint": null, "bias_initializer": {"class_name": "Zeros", "config": {}}, "bias_regularizer": null, "data_format": "channels_last", "dilation_rate": [1, 1], "filters": 128, "kernel_constraint": null, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"distribution": "uniform", "mode": "fan_avg", "scale": 1.0, "seed": null}}, "kernel_regularizer": null, "kernel_size": [3, 3], "name": "conv2d_11", "padding": "same", "strides": [1, 1], "trainable": false, "use_bias": true}}
layer8default: {"class_name": "MaxPooling2D", "config": {"data_format": "channels_last", "name": "max_pooling2d_5", "padding": "valid", "pool_size": [2, 2], "strides": [2, 2], "trainable": false}}
layer9default: {"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_5", "scale": true, "trainable": false}}
verbosedefault: 2

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