neuralNetwork

Type Members

1. class AdaGradUpdater extends Updater

   

   Annotations

   @Experimental()

2. class DBN extends Logging with Serializable

   

   Annotations

   @Experimental()

3. class EquilibratedUpdater extends Updater

   

   Equilibrated Gradient Descent the paper: RMSProp and equilibrated adaptive learning rates for non-convex optimization

   Equilibrated Gradient Descent the paper: RMSProp and equilibrated adaptive learning rates for non-convex optimization

   Annotations

   @Experimental()

4. class GradientDescent extends Optimizer with Logging

   

   Class used to solve an optimization problem using Gradient Descent.

   Class used to solve an optimization problem using Gradient Descent.

   Annotations

   @Experimental()

5. class MLP extends Logging with Serializable

   

   Annotations

   @Experimental()

6. class MomentumUpdater extends Updater

   

   Annotations

   @Experimental()

7. class RBM extends Logging with Serializable

   

   Annotations

   @Experimental()

8. class StackedRBM extends Logging with Serializable

   

   Annotations

   @Experimental()