Developer Guide

Contents

Batch Processing

Layer Input

The backward hyperbolic tangent layer accepts the input described below. Pass the Input ID as a parameter to the methods that provide input for your algorithm. For more details, see Algorithms.
Input ID
Input
inputGradient
Pointer to the tensor of size
n
1
x
n
2
x ... x
n
p
that stores the input gradient computed on the preceding layer. This input can be an object of any class derived from
Tensor
.
inputFromForward
Collection of data needed for the backward hyperbolic tangent layer.
Element ID
Element
auxValue
Pointer to the tensor of size
n
1
x
n
2
x ... x
n
p
that stores the result of the forward hyperbolic tangent layer. This input can be an object of any class derived from
Tensor
.

Layer Parameters

For common parameters of neural network layers, see Common Parameters.
In addition to the common parameters, the backward hyperbolic tangent layer has the following parameters:
Parameter
Default Value
Description
algorithmFPType
float
The floating-point type that the algorithm uses for intermediate computations. Can be
float
or
double
.
method
defaultDense
Performance-oriented computation method, the only method supported by the layer.

Layer Output

The backward hyperbolic tangent layer calculates the result described below. Pass the Result ID as a parameter to the methods that access the results of your algorithm. For more details, see Algorithms.
Result ID
Result
gradient
Pointer to the tensor of size
n
1
x
n
2
x ... x
n
p
that stores the result of the backward hyperbolic tangent layer. This input can be an object of any class derived from
Tensor
.

Product and Performance Information

1

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Notice revision #20110804