Uses of Package
org.deeplearning4j.arbiter.layers

LayerSpace contains common Layer hyperparameters; should match Layer in terms of features

Layer space for LSTM layers

Layer space for ActivationLayer

Layer space for autoencoder layers

Layer space for convolutional layers

BaseLayerSpace contains the common Layer hyperparameters; should match BaseLayer in terms of features

LayerSpace for batch normalization layers

Layer space for convolutional layers

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

Layer hyperparameter configuration space for EmbeddingLayer

Layer space for a GlobalPoolingLayer

Layer space for Bidirectional LSTM layers

Layer space for LSTM layers

Layer hyperparameter configuration space for output layers

Layer hyperparameter configuration space for subsampling layers

LayerSpace contains common Layer hyperparameters; should match Layer in terms of features