public static class NeuralNetConfiguration.ListBuilder extends MultiLayerConfiguration.Builder
backprop, backpropType, cnnInputSize, confs, dampingFactor, inputPreProcessors, inputType, pretrain, tbpttBackLength, tbpttFwdLength
Constructor and Description |
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ListBuilder(NeuralNetConfiguration.Builder globalConfig) |
ListBuilder(NeuralNetConfiguration.Builder globalConfig,
java.util.Map<java.lang.Integer,NeuralNetConfiguration.Builder> layerMap) |
Modifier and Type | Method and Description |
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NeuralNetConfiguration.ListBuilder |
backprop(boolean backprop)
Whether to do back prop or not
|
MultiLayerConfiguration |
build()
Build the multi layer network
based on this neural network and
overr ridden parameters
|
java.util.Map<java.lang.Integer,NeuralNetConfiguration.Builder> |
getLayerwise() |
NeuralNetConfiguration.ListBuilder |
layer(int ind,
Layer layer) |
NeuralNetConfiguration.ListBuilder |
pretrain(boolean pretrain)
Whether to do pre train or not
|
backpropType, cnnInputSize, cnnInputSize, confs, inputPreProcessor, inputPreProcessors, setInputType, tBPTTBackwardLength, tBPTTForwardLength
public ListBuilder(NeuralNetConfiguration.Builder globalConfig, java.util.Map<java.lang.Integer,NeuralNetConfiguration.Builder> layerMap)
public ListBuilder(NeuralNetConfiguration.Builder globalConfig)
public NeuralNetConfiguration.ListBuilder backprop(boolean backprop)
MultiLayerConfiguration.Builder
backprop
in class MultiLayerConfiguration.Builder
backprop
- whether to do back prop or notpublic NeuralNetConfiguration.ListBuilder pretrain(boolean pretrain)
MultiLayerConfiguration.Builder
pretrain
in class MultiLayerConfiguration.Builder
pretrain
- whether to do pre train or notpublic NeuralNetConfiguration.ListBuilder layer(int ind, Layer layer)
public java.util.Map<java.lang.Integer,NeuralNetConfiguration.Builder> getLayerwise()
public MultiLayerConfiguration build()
build
in class MultiLayerConfiguration.Builder