Uses of Interface
jsat.classifiers.neuralnetwork.initializers.BiastInitializer

Packages that use BiastInitializer

Package	Description
jsat.classifiers.neuralnetwork
jsat.classifiers.neuralnetwork.initializers

Uses of BiastInitializer in jsat.classifiers.neuralnetwork

Methods in jsat.classifiers.neuralnetwork that return BiastInitializer

Modifier and Type	Method and Description
BiastInitializer	SGDNetworkTrainer.getBiasInit()

Methods in jsat.classifiers.neuralnetwork with parameters of type BiastInitializer

Modifier and Type	Method and Description
void	SGDNetworkTrainer.setBiasInit(BiastInitializer biasInit) Sets the method to use when initializing neuron bias values

Uses of BiastInitializer in jsat.classifiers.neuralnetwork.initializers

Classes in jsat.classifiers.neuralnetwork.initializers that implement BiastInitializer

Modifier and Type	Class and Description
class	ConstantInit This initializes all bias values to a single constant value
class	GaussianNormalInit This object initializes the values of weights by sampling from the zero mean Gaussian
class	TanhInitializer This initializer samples the weights from an adjusted uniform distribution in order to provided better behavior of neuron activation and gradients See: Glorot, X., & Bengio, Y.

Methods in jsat.classifiers.neuralnetwork.initializers that return BiastInitializer

Modifier and Type	Method and Description
BiastInitializer	BiastInitializer.clone()