layers

Type Members

1. class Dense extends Node with Layer with Output

   

   Fully connected neural net layer.

2. class DenseOutput extends Dense

   

   Fully connected output neural net layer.

3. trait Layer extends AnyRef

   

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

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

4. trait Node extends AnyRef

   

   Trait for node in DL4J neural networks and computational graphs.

   Trait for node in DL4J neural networks and computational graphs. Nodes are assumed to have inputs and ouputs with "shapes."

5. trait Output extends AnyRef

   

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

6. trait Preprocessor extends AnyRef

   

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

   Trait for preprocessing layers in DL4J neural networks and computational graphs. Compiles out to DL4J InputPreProcessor.