MPSCNNLogSoftMax(3)    MetalPerformanceShaders.framework   MPSCNNLogSoftMax(3)

NAME

       MPSCNNLogSoftMax

SYNOPSIS

       #import <MPSCNNSoftMax.h>

       Inherits MPSCNNKernel.

   Additional Inherited Members

Detailed Description

       This depends on Metal.framework  The logarithmic softmax filter can be
       achieved by taking the natural logarithm of the the result of the
       softmax filter. The results are often used to construct a loss function
       to be minimized when training neural networks. For each feature channel
       per pixel in an image in a feature map, the logarithmic softmax filter
       computes the following: result channel in pixel = pixel(x,y,k)) -
       ln{sum(exp(pixel(x,y,0)) ... exp(pixel(x,y,N-1))} where N is the number
       of feature channels and y = ln{x} satisfies e^y = x.

Author

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





Version MetalPerformanceShaders-Thu2Jul 13 2017            MPSCNNLogSoftMax(3)


Mac OS X 10.13.1 - Generated Mon Nov  6 18:13:20 CST 2017