Package | Description |
---|---|
org.deeplearning4j.arbiter.layers |
Modifier and Type | Class and Description |
---|---|
class |
AbstractLSTMLayerSpace<T extends AbstractLSTM>
Layer space for LSTM layers
|
class |
AutoEncoderLayerSpace
Layer space for autoencoder layers
|
class |
BaseConvolutionLayerSpace<T extends FeedForwardLayer>
Layer space for convolutional layers
|
class |
BaseOutputLayerSpace<L extends BaseOutputLayer> |
class |
BasePretrainNetworkLayerSpace<L extends BasePretrainNetwork> |
class |
BatchNormalizationSpace
LayerSpace for batch normalization layers
|
class |
CenterLossOutputLayerSpace |
class |
ConvolutionLayerSpace
Layer space for convolutional layers
|
class |
Deconvolution2DLayerSpace |
class |
DenseLayerSpace
layer hyperparameter configuration space for dense layers (i.e., multi-layer perceptron layers)
|
class |
EmbeddingLayerSpace
Layer hyperparameter configuration space for
EmbeddingLayer |
class |
FeedForwardLayerSpace<L extends FeedForwardLayer> |
class |
GravesBidirectionalLSTMLayerSpace
Layer space for Bidirectional LSTM layers
|
class |
GravesLSTMLayerSpace
Layer space for LSTM layers
|
class |
LSTMLayerSpace
Layer space for LSTM layers
|
class |
OCNNLayerSpace |
class |
OutputLayerSpace
Layer hyperparameter configuration space for output layers
|
class |
RnnOutputLayerSpace
Layer hyperparametor configuration space for RnnOutputLayer
|
class |
SeparableConvolution2DLayerSpace |
class |
VariationalAutoencoderLayerSpace
Layer space for
VariationalAutoencoder |
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