Uses of Class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder (deeplearning4j-nn 1.0.0-beta6 API)

Packages that use BaseLayer.Builder
Package	Description
org.deeplearning4j.nn.conf.layers
org.deeplearning4j.nn.conf.layers.misc
org.deeplearning4j.nn.conf.layers.recurrent
org.deeplearning4j.nn.conf.layers.variational
org.deeplearning4j.nn.conf.ocnn

Classes in org.deeplearning4j.nn.conf.layers with type parameters of type BaseLayer.Builder
Modifier and Type	Class and Description
`static class`	`BaseLayer.Builder<T extends BaseLayer.Builder<T>>`

Subclasses of BaseLayer.Builder in org.deeplearning4j.nn.conf.layers
Modifier and Type	Class and Description
`static class`	`AbstractLSTM.Builder<T extends AbstractLSTM.Builder<T>>`
`static class`	`AutoEncoder.Builder`
`static class`	`BaseOutputLayer.Builder<T extends BaseOutputLayer.Builder<T>>`
`static class`	`BasePretrainNetwork.Builder<T extends BasePretrainNetwork.Builder<T>>`
`static class`	`BaseRecurrentLayer.Builder<T extends BaseRecurrentLayer.Builder<T>>`
`static class`	`BatchNormalization.Builder`
`static class`	`CenterLossOutputLayer.Builder`
`static class`	`Cnn3DLossLayer.Builder`
`static class`	`CnnLossLayer.Builder`
`static class`	`Convolution1DLayer.Builder`
`static class`	`Convolution3D.Builder`
`static class`	`ConvolutionLayer.BaseConvBuilder<T extends ConvolutionLayer.BaseConvBuilder<T>>`
`static class`	`ConvolutionLayer.Builder`
`static class`	`Deconvolution2D.Builder`
`static class`	`DenseLayer.Builder`
`static class`	`DepthwiseConvolution2D.Builder`
`static class`	`DropoutLayer.Builder`
`static class`	`EmbeddingLayer.Builder`
`static class`	`EmbeddingSequenceLayer.Builder`
`static class`	`FeedForwardLayer.Builder<T extends FeedForwardLayer.Builder<T>>`
`static class`	`GravesBidirectionalLSTM.Builder` Deprecated.
`static class`	`GravesLSTM.Builder` Deprecated.
`static class`	`LossLayer.Builder`
`static class`	`LSTM.Builder`
`static class`	`OutputLayer.Builder`
`static class`	`PReLULayer.Builder`
`static class`	`RnnLossLayer.Builder`
`static class`	`RnnOutputLayer.Builder`
`static class`	`SeparableConvolution2D.Builder`

Methods in org.deeplearning4j.nn.conf.layers that return BaseLayer.Builder
Modifier and Type	Method and Description
`BaseLayer.Builder`	BaseLayer.Builder.`regularization(List<Regularization> regularization)` Set the regularization for the parameters (excluding biases) - for example `WeightDecay`
`BaseLayer.Builder`	BaseLayer.Builder.`regularizationBias(List<Regularization> regularizationBias)` Set the regularization for the biases only - for example `WeightDecay`
`BaseLayer.Builder`	BaseLayer.Builder.`weightDecay(double coefficient)` Add weight decay regularization for the network parameters (excluding biases). This applies weight decay with multiplying the learning rate - see `WeightDecay` for more details.
`BaseLayer.Builder`	BaseLayer.Builder.`weightDecay(double coefficient, boolean applyLR)` Add weight decay regularization for the network parameters (excluding biases).
`BaseLayer.Builder`	BaseLayer.Builder.`weightDecayBias(double coefficient)` Weight decay for the biases only - see `weightDecay(double)` for more details.
`BaseLayer.Builder`	BaseLayer.Builder.`weightDecayBias(double coefficient, boolean applyLR)` Weight decay for the biases only - see `weightDecay(double)` for more details

Constructors in org.deeplearning4j.nn.conf.layers with parameters of type BaseLayer.Builder
Constructor and Description
`BaseLayer(BaseLayer.Builder builder)`

Subclasses of BaseLayer.Builder in org.deeplearning4j.nn.conf.layers.misc
Modifier and Type	Class and Description
`static class`	`ElementWiseMultiplicationLayer.Builder`
`static class`	`RepeatVector.Builder<T extends RepeatVector.Builder<T>>`

Uses of Classorg.deeplearning4j.nn.conf.layers.BaseLayer.Builder