Arbiter Layer Spaces

Layer Spaces


ActivationLayerSpace

[source]


AutoEncoderLayerSpace

[source]

Layer space for autoencoder layers


BatchNormalizationSpace

[source]

LayerSpace for batch normalization layers


Bidirectional

[source]

Bidirectional layer wrapper. Can be used wrap an existing layer space, in the same way that


ConvolutionLayerSpace

[source]

Layer space for convolutional layers


DenseLayerSpace

[source]

layer hyperparameter configuration space for dense layers (i.e., multi-layer perceptron layers)


EmbeddingLayerSpace

[source]


GlobalPoolingLayerSpace

[source]


GravesBidirectionalLSTMLayerSpace

[source]

Layer space for Bidirectional LSTM layers


GravesLSTMLayerSpace

[source]

Layer space for LSTM layers


LSTMLayerSpace

[source]

Layer space for LSTM layers


OCNNLayerSpace

[source]

Use hiddenLayerSize instead

numHidden
public Builder numHidden(int numHidden) 

Use hiddenLayerSize instead

  • param numHidden
  • return

OutputLayerSpace

[source]

Layer hyperparameter configuration space for output layers


RnnOutputLayerSpace

[source]

Layer hyperparametor configuration space for RnnOutputLayer


SubsamplingLayerSpace

[source]

Layer hyperparameter configuration space for subsampling layers


VariationalAutoencoderLayerSpace

[source]

API Reference

API Reference

Detailed API docs for all libraries including DL4J, ND4J, DataVec, and Arbiter.

Examples

Examples

Explore sample projects and demos for DL4J, ND4J, and DataVec in multiple languages including Java and Kotlin.

Tutorials

Tutorials

Step-by-step tutorials for learning concepts in deep learning while using the DL4J API.

Guide

Guide

In-depth documentation on different scenarios including import, distributed training, early stopping, and GPU setup.

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