core

Type Members

1. class ActivationLayer extends Layer

   Activation layer

2. class Dense extends OutputLayer

   Fully connected neural net layer.

3. class Dropout extends Layer

   Dropout layer

4. trait Layer extends Node

   Trait for proper "layer" in DL4J neural networks and computational graphs.

5. trait Node extends AnyRef

   Trait for node in DL4J neural networks and computational graphs.

6. case class Output(isOutput: Boolean, lossFunction: LossFunction) extends Product with Serializable

   Trait for output layers in DL4J neural networks and computational graphs.

7. trait OutputLayer extends Layer

   Extension of base layer, used to construct a DL4J OutputLayer after compilation.

8. trait Preprocessor extends Node

   Trait for preprocessing layers in DL4J neural networks and computational graphs.

9. class SpatialDropout extends Layer

   Spatial Dropout layer

10. trait WrapperLayer extends Layer