Uses of Package
jsat.classifiers.neuralnetwork.activations

Packages that use jsat.classifiers.neuralnetwork.activations

Package	Description
jsat.classifiers.neuralnetwork
jsat.classifiers.neuralnetwork.activations

Classes in jsat.classifiers.neuralnetwork.activations used by jsat.classifiers.neuralnetwork

Class and Description
ActivationLayer This interface defines a type of activation layer for use in a Neural Network

Classes in jsat.classifiers.neuralnetwork.activations used by jsat.classifiers.neuralnetwork.activations

Class and Description
ActivationLayer This interface defines a type of activation layer for use in a Neural Network
LinearLayer
ReLU This Activation Layer is for Rectified Linear Units.
SigmoidLayer This layer provides the standard Sigmoid activation f(x) = 1/(1+exp(-x))
SoftmaxLayer This activation layer is meant to be used as the top-most layer for classification problems, and uses the softmax function (also known as cross entropy) to convert the inputs into probabilities.
SoftSignLayer This provides the Soft Sign activation function f(x) = x/(1+abs(x)), which is similar to the tanh activation and has a min/max of -1 and 1.
TanhLayer This layer provides the standard tanh activation f(x) = tanh(x)