Package | Description |
---|---|
org.deeplearning4j.nn.params |
Class and 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.
|
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