Uses of Class
de.jungblut.classification.nn.RBM.RBMBuilder

Packages that use RBM.RBMBuilder

Package	Description
de.jungblut.classification.nn

Uses of RBM.RBMBuilder in de.jungblut.classification.nn

Methods in de.jungblut.classification.nn that return RBM.RBMBuilder

Modifier and Type	Method	Description
RBM.RBMBuilder	RBM.RBMBuilder.batchParallelism(int numThreads)
static RBM.RBMBuilder	RBM.RBMBuilder.create(ActivationFunction activation, int... layer)	Creates a new RBM.RBMBuilder from an activation function and layersizes.
RBM.RBMBuilder	RBM.RBMBuilder.lambda(double lambda)	Sets the regularization parameter lambda, defaults to 0 if not set.
RBM.RBMBuilder	RBM.RBMBuilder.miniBatchSize(int size)
RBM.RBMBuilder	RBM.RBMBuilder.stochastic()	Sets the training mode to stochastic.
RBM.RBMBuilder	RBM.RBMBuilder.stochastic(boolean stochastic)	If verbose is true, stochastic training will be used.
RBM.RBMBuilder	RBM.RBMBuilder.trainingType(TrainingType type)	Sets the training type, it defaults to CPU- so only use if you want to use the GPU.
RBM.RBMBuilder	RBM.RBMBuilder.verbose()	Sets verbose to true.
RBM.RBMBuilder	RBM.RBMBuilder.verbose(boolean verbose)	If verbose is true, progress indicators will be printed to STDOUT.