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

Class Summary

Class	Description
Abs	Abs elementwise function
ACos	Log elementwise function
ACosh	Log elementwise function
And	Boolean AND pairwise transform
ASin	Arcsin elementwise function
ASinh	Arcsin elementwise function
ATan	Arc Tangent elementwise function
ATanh	tan elementwise function
Ceil	Ceiling elementwise function
Cos	Cosine elementwise function
Cosh	Cosine Hyperbolic elementwise function
Cube	Cube (x^3) elementwise function
CubeDerivative	Cube derivative, e.g.
ELU	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
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
Exp	Exp elementwise function
Floor	Floor elementwise function
HardSigmoid	HardSigmoid function
HardSigmoidDerivative	HardSigmoid derivative
HardTanh	Hard tanh elementwise function
HardTanhDerivative	Hard tanh elementwise derivative function
Histogram
Identity	Identity function
IsMax	[1, 2, 3, 1] -> [0, 0, 1, 0]
LeakyReLU	Leaky Rectified linear unit.
LeakyReLUDerivative	Leaky ReLU derivative.
LegacyDropOut	DropOut implementation as Op PLEASE NOTE: This is legacy DropOut implementation, please consider using op with the same name from randomOps
LegacyDropOutInverted	Inverted DropOut implementation as Op PLEASE NOTE: This is legacy DropOutInverted implementation, please consider using op with the same name from randomOps
Log	Log elementwise function
LogSoftMax	Log(softmax(X))
LogX	Log on arbitrary base op
MaxOut	Max out activation: http://arxiv.org/pdf/1302.4389.pdf
Negative	Negative function
Not	Boolean AND pairwise transform
OneMinus	1 - input
Ones	Ones (represents a constant)
Or	Boolean AND pairwise transform
Pow	Pow function
RationalTanh	Rational Tanh Approximation elementwise function, as described at https://github.com/deeplearning4j/libnd4j/issues/351
RationalTanhDerivative	Rational Tanh Derivative, as described at as described at https://github.com/deeplearning4j/libnd4j/issues/351
RectifedLinear	Rectified linear units
RectifiedTanh	RectifiedTanh Essentially max(0, tanh(x))
RectifiedTanhDerivative	Rectified Tanh Derivative
ReplaceNans	Element-wise "Replace NaN" implementation as Op
Reverse	Soft max function row_maxes is a row vector (max for each row) row_maxes = rowmaxes(input) diff = exp(input - max) / diff.rowSums() Outputs a probability distribution.
Round	Rounding function
SELU	SELU activation function https://arxiv.org/pdf/1706.02515.pdf
SELUDerivative	SELU Derivative elementwise function https://arxiv.org/pdf/1706.02515.pdf
Set	Set
SetRange	Set range to a particular set of values
Sigmoid	Sigmoid function
SigmoidDerivative	Sigmoid derivative
Sign	Signum function
Sin	Log elementwise function
Sinh	Log elementwise function
SoftMax	Soft max function row_maxes is a row vector (max for each row) row_maxes = rowmaxes(input) diff = exp(input - max) / diff.rowSums() Outputs a probability distribution.
SoftMaxDerivative	Softmax derivative
SoftPlus
SoftSign	Softsign element-wise activation function.
SoftSignDerivative	SoftSign derivative.
Sqrt	Sqrt function
Stabilize	Stabilization function, forces values to be within a range
Step	Unit step function.
Tan	Tanh elementwise function
TanDerivative	Tan Derivative elementwise function
Tanh	Tanh elementwise function
TanhDerivative	Tanh derivative
TimesOneMinus	If x is input: output is x*(1-x)
VectorFFT	Encapsulated vector operation
VectorIFFT	Single ifft operation
Xor	Boolean AND pairwise transform