ann

Type Members

1. trait ActivationFunction extends Serializable

   

   Trait for functions and their derivatives for functional layers

2. class AffineLayer extends Layer

   

   Layer properties of affine transformations, that is y=A*x+b

3. class AffineLayerModel extends LayerModel

   

   Model of Affine layer

4. class FeedForwardModel extends TopologyModel

   

   Model of Feed Forward Neural Network.

   Model of Feed Forward Neural Network. Implements forward, gradient computation and can return weights in vector format.

5. class FeedForwardTopology extends Topology

   

   Feed forward ANN

6. class FunctionalLayer extends Layer

   

   Functional layer properties, y = f(x)

7. class FunctionalLayerModel extends LayerModel

   

   Functional layer model.

   Functional layer model. Holds no weights.

8. trait Layer extends Serializable

   

   Trait that holds Layer properties, that are needed to instantiate it.

   Trait that holds Layer properties, that are needed to instantiate it. Implements Layer instantiation.

9. trait LayerModel extends Serializable

   

   Trait that holds Layer weights (or parameters).

   Trait that holds Layer weights (or parameters). Implements functions needed for forward propagation, computing delta and gradient. Can return weights in Vector format.

10. trait LossFunction extends AnyRef

    

    Trait for loss function

11. class SigmoidFunction extends ActivationFunction

    

    Implements Sigmoid activation function

12. class SigmoidLayerModelWithSquaredError extends FunctionalLayerModel with LossFunction

    

13. class SigmoidLayerWithSquaredError extends Layer

    

14. class SoftmaxLayerModelWithCrossEntropyLoss extends LayerModel with LossFunction

    

15. class SoftmaxLayerWithCrossEntropyLoss extends Layer

    

16. trait Topology extends Serializable

    

    Trait for the artificial neural network (ANN) topology properties

17. trait TopologyModel extends Serializable

    

    Trait for ANN topology model