Uses of Package
org.deeplearning4j.nn.params

Packages that use org.deeplearning4j.nn.params

Package	Description
org.deeplearning4j.nn.layers.ocnn
org.deeplearning4j.nn.params

Classes in org.deeplearning4j.nn.params used by org.deeplearning4j.nn.layers.ocnn

Class and Description
DefaultParamInitializer Static weight initializer with just a weight matrix and a bias

Classes in org.deeplearning4j.nn.params used by org.deeplearning4j.nn.params

Class and Description
BatchNormalizationParamInitializer Batch normalization variable init
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