| AbstractLSTMLayerSpace<T extends org.deeplearning4j.nn.conf.layers.AbstractLSTM> |
Layer space for LSTM layers
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| AbstractLSTMLayerSpace.Builder<T> |
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| ActivationLayerSpace |
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| ActivationLayerSpace.Builder |
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| AutoEncoderLayerSpace |
Layer space for autoencoder layers
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| AutoEncoderLayerSpace.Builder |
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| BaseConvolutionLayerSpace<T extends org.deeplearning4j.nn.conf.layers.FeedForwardLayer> |
Layer space for convolutional layers
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| BaseConvolutionLayerSpace.Builder<T> |
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| BaseLayerSpace<L extends org.deeplearning4j.nn.conf.layers.BaseLayer> |
BaseLayerSpace contains the common Layer hyperparameters; should match BaseLayer in terms of features |
| BaseLayerSpace.Builder<T> |
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| BaseOutputLayerSpace<L extends org.deeplearning4j.nn.conf.layers.BaseOutputLayer> |
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| BaseOutputLayerSpace.Builder<T> |
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| BasePretrainNetworkLayerSpace<L extends org.deeplearning4j.nn.conf.layers.BasePretrainNetwork> |
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| BasePretrainNetworkLayerSpace.Builder<T> |
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| BatchNormalizationSpace |
LayerSpace for batch normalization layers
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| BatchNormalizationSpace.Builder |
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| Bidirectional |
Bidirectional layer wrapper.
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| CenterLossOutputLayerSpace |
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| CenterLossOutputLayerSpace.Builder |
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| ConvolutionLayerSpace |
Layer space for convolutional layers
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| ConvolutionLayerSpace.Builder |
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| Deconvolution2DLayerSpace |
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| Deconvolution2DLayerSpace.Builder |
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| DenseLayerSpace |
layer hyperparameter configuration space for dense layers (i.e., multi-layer perceptron layers)
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| DenseLayerSpace.Builder |
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| DropoutLayerSpace |
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| DropoutLayerSpace.Builder |
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| EmbeddingLayerSpace |
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| EmbeddingLayerSpace.Builder |
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| FeedForwardLayerSpace<L extends org.deeplearning4j.nn.conf.layers.FeedForwardLayer> |
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| FeedForwardLayerSpace.Builder<T> |
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| GlobalPoolingLayerSpace |
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| GlobalPoolingLayerSpace.Builder |
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| GravesBidirectionalLSTMLayerSpace |
Layer space for Bidirectional LSTM layers
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| GravesBidirectionalLSTMLayerSpace.Builder |
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| GravesLSTMLayerSpace |
Layer space for LSTM layers
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| GravesLSTMLayerSpace.Builder |
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| LayerSpace<L extends org.deeplearning4j.nn.conf.layers.Layer> |
LayerSpace contains common Layer hyperparameters; should match Layer in terms of features |
| LayerSpace.Builder<T> |
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| LocalResponseNormalizationLayerSpace |
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| LocalResponseNormalizationLayerSpace.Builder |
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| LossLayerSpace |
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| LossLayerSpace.Builder |
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| LSTMLayerSpace |
Layer space for LSTM layers
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| LSTMLayerSpace.Builder |
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| OCNNLayerSpace |
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| OCNNLayerSpace.Builder |
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| OutputLayerSpace |
Layer hyperparameter configuration space for output layers
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| OutputLayerSpace.Builder |
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| RnnOutputLayerSpace |
Layer hyperparametor configuration space for RnnOutputLayer
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| RnnOutputLayerSpace.Builder |
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| SeparableConvolution2DLayerSpace |
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| SeparableConvolution2DLayerSpace.Builder |
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| SubsamplingLayerSpace |
Layer hyperparameter configuration space for subsampling layers
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| SubsamplingLayerSpace.Builder |
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| VariationalAutoencoderLayerSpace |
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| VariationalAutoencoderLayerSpace.Builder |
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