| 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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