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

Class Summary

Class	Description
Abs	Abs elementwise function
ACos	Log elementwise function
ACosh	ACosh elementwise function
And	Boolean AND pairwise transform
ASin	Arcsin elementwise function
ASinh	Arcsin elementwise function
Assign	Assign op: x = y, with broadcast as required
ATan	Arc Tangent elementwise function
ATan2	Arc Tangent elementwise function
ATanh	tan elementwise function
BaseDynamicTransformOp
BatchToSpace	N-dimensional batch to space operation.
BinaryMinimalRelativeError
BinaryRelativeError
Ceil	Ceiling elementwise function
Constant
Cos	Cosine elementwise function
Cosh	Cosine Hyperbolic elementwise function
Cube	Cube (x^3) elementwise function
Dilation2D	Dilation2D op wrapper
DynamicPartition	Transforms a given input tensor into numPartitions partitions, as indicated by the indices in "partitions".
DynamicStitch	Transforms a given input tensor into numPartitions partitions, as indicated by the indices in "partitions".
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
Erf	Gaussian error function (erf) function, which is defined as
Erfc	Complementary Gaussian error function (erfc), defined as
Exp	Element-wise exponential function
Expm1	Element-wise exponential function minus 1, i.e.
Fill	Fill an array of given "shape" with the provided "value", e.g.
Floor	Floor elementwise function
HardSigmoid	HardSigmoid function
HardTanh	Hard tanh elementwise function
Histogram
Identity	Identity function
InvertPermutation	Inverse of index permutation.
IsFinite	IsFinite function
IsInf	IsInf function
IsMax	[1, 2, 3, 1] -> [0, 0, 1, 0]
IsNaN	IsNaN function
LeakyReLU	Leaky Rectified linear unit.
LegacyDropOut	DropOut implementation as Op PLEASE NOTE: This is legacy DropOut implementation, please consider using op with the same opName from randomOps
LegacyDropOutInverted	Inverted DropOut implementation as Op PLEASE NOTE: This is legacy DropOutInverted implementation, please consider using op with the same opName from randomOps
Log	Log elementwise function
Log1p	Log1p function
LogSigmoid	LogSigmoid function
LogSigmoidDerivative	LogSigmoid derivative
LogSoftMax	Log(softmax(X))
LogX	Log on arbitrary base op
MatchConditionTransform	Absolute sum the components
MatrixDiagPart
MatrixSetDiag
MaxOut	Max out activation: http://arxiv.org/pdf/1302.4389.pdf
Negative	Negative function
Not	Boolean AND pairwise transform
OldAtan2Op	atan2 operation
OldIdentity	Identity function
OldReverse	OldReverse op
OldSoftMax	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.
OneMinus	1 - input
Or	Boolean OR pairwise transform
Pow	Pow function
PowDerivative	Pow derivative z = n * x ^ (n-1)
RationalTanh	Rational Tanh Approximation elementwise function, as described at https://github.com/deeplearning4j/libnd4j/issues/351
Reciprocal	Created by susaneraly on 3/28/18.
RectifedLinear	Rectified linear units
RectifiedTanh	RectifiedTanh Essentially max(0, tanh(x))
RelativeError
Relu6	Rectified linear unit 6, i.e.
ReluLayer	Composed op: relu((X, W) + b)
ReplaceNans	Element-wise "Replace NaN" implementation as Op
Reverse
ReverseSequence	Created by farizrahman4u on 3/16/18.
Rint	Rint function
Round	Rounding function
RSqrt	RSqrt function
SELU	SELU activation function
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	Sinh 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.
SpaceToBatch	N-dimensional space to batch operation.
Sqrt	Sqrt function
Stabilize	Stabilization function, forces values to be within a range
Step	Unit step function.
Swish	Swish function
SwishDerivative	Swish derivative
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)
Xor	Boolean XOR pairwise transform
XwPlusB	Composed op: mmul (X, W) + b