Package org.nd4j.linalg.api.ops.impl.transforms.gradient

Class Summary

Class	Description
CubeDerivative	Cube derivative, e.g.
ELUDerivative	Derivative of ELU: Exponential Linear Unit (alpha=1.0) Introduced in paper: Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) Djork-Arné Clevert, Thomas Unterthiner, Sepp Hochreiter (2015) http://arxiv.org/abs/1511.07289
GradientBackwardsMarker
HardSigmoidDerivative	HardSigmoid derivative
HardTanhDerivative	Hard tanh elementwise derivative function
LeakyReLUDerivative	Leaky ReLU derivative.
LogSoftMaxDerivative
RationalTanhDerivative	Rational Tanh Derivative, as described at as described at https://github.com/deeplearning4j/libnd4j/issues/351
RectifiedTanhDerivative	Rectified Tanh Derivative
SELUDerivative	SELU Derivative elementwise function https://arxiv.org/pdf/1706.02515.pdf
SigmoidDerivative
SoftMaxDerivative
SoftSignDerivative	SoftSign derivative.
TanhDerivative