layer

Type Members

1. class AffineLayer extends Layer with ShapeValidator with Visualizable

   

   FullConnectedLayer is an intermediate layer used for updating all parameters between every units.

2. class DenoisingAutoEncodeLayer extends PretrainLayer with ShapeValidator with Visualizable

   

3. abstract class Layer extends Serializable

   

   Layer is an abstraction of neural network layer.

   Layer is an abstraction of neural network layer. This class only retains the size of input and output not coefficient and intercept. Actual parameters are kept in Model class. The parameters can be accessed with id.

4. abstract class PretrainLayer extends Layer with ShapeValidator

   

5. class ReLULayer extends Layer with Visualizable

   

   Rectified linear unit layer

6. trait ShapeValidator extends Layer

   

7. class SigmoidLayer extends Layer with Visualizable

   

   Sigmoid function layer

8. class SoftmaxLayer extends Layer with Visualizable

   

   Sigmoid function layer

9. trait Visualizable extends Layer