Package org.deeplearning4j.nn.params

Class Summary

Class	Description
BatchNormalizationParamInitializer	Batch normalization variable init
CenterLossParamInitializer	Initialize Center Loss params.
ConvolutionParamInitializer	Initialize convolution params.
DefaultParamInitializer	Static weight initializer with just a weight matrix and a bias
EmptyParamInitializer
FrozenLayerParamInitializer	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.
VariationalAutoencoderParamInitializer	Parameter initializer for the Variational Autoencoder model.