Package org.deeplearning4j.nn.params

Class Summary

Class	Description
BatchNormalizationParamInitializer	Batch normalization variable init
BidirectionalParamInitializer	Parameter initializer for bidirectional wrapper layer
CenterLossParamInitializer	Initialize Center Loss params.
Convolution3DParamInitializer	Initialize 3D convolution parameters.
ConvolutionParamInitializer	Initialize convolution params.
DeconvolutionParamInitializer
DefaultParamInitializer	Static weight initializer with just a weight matrix and a bias
DepthwiseConvolutionParamInitializer	Initialize depth-wise convolution parameters.
ElementWiseParamInitializer	created by jingshu
EmptyParamInitializer
FrozenLayerParamInitializer	Parameter initializer for FrozenLayer instances.
FrozenLayerWithBackpropParamInitializer	Parameter initializer for FrozenLayer instances.
GravesBidirectionalLSTMParamInitializer	LSTM Parameter initializer, for LSTM based on Graves: Supervised Sequence Labelling with Recurrent Neural Networks http://www.cs.toronto.edu/~graves/phd.pdf
GravesLSTMParamInitializer	LSTM Parameter initializer, for LSTM based on Graves: Supervised Sequence Labelling with Recurrent Neural Networks http://www.cs.toronto.edu/~graves/phd.pdf
LSTMParamInitializer	LSTM Parameter initializer, for LSTM based on Graves: Supervised Sequence Labelling with Recurrent Neural Networks http://www.cs.toronto.edu/~graves/phd.pdf
PretrainParamInitializer	Pretrain weight initializer.
SameDiffParamInitializer
SeparableConvolutionParamInitializer	Initialize separable convolution params.
SimpleRnnParamInitializer
VariationalAutoencoderParamInitializer	Parameter initializer for the Variational Autoencoder model.
WrapperLayerParamInitializer