MPSCNNSoftMax(3)       MetalPerformanceShaders.framework      MPSCNNSoftMax(3)

NAME

       MPSCNNSoftMax

SYNOPSIS

       #import <MPSCNNSoftMax.h>

       Inherits MPSCNNKernel.

   Additional Inherited Members

Detailed Description

       This depends on Metal.framework  The softmax filter is a neural
       transfer function and is useful for classification tasks. The softmax
       filter is applied across feature channels and in a convolutional manner
       at all spatial locations. The softmax filter can be seen as the
       combination of an activation function (exponential) and a normalization
       operator. For each feature channel per pixel in an image in a feature
       map, the softmax filter computes the following: result channel in pixel
       = exp(pixel(x,y,k))/sum(exp(pixel(x,y,0)) ... exp(pixel(x,y,N-1)) where
       N is the number of feature channels

Author

       Generated automatically by Doxygen for
       MetalPerformanceShaders.framework from the source code.





Version MetalPerformanceShaders-Thu2Jul 13 2017               MPSCNNSoftMax(3)


Mac OS X 10.13.1 - Generated Mon Nov  6 19:15:56 CST 2017