MPSCNNSoftMax(3) | MetalPerformanceShaders.framework | MPSCNNSoftMax(3) |
MPSCNNSoftMax
#import <MPSCNNSoftMax.h>
Inherits MPSCNNKernel.
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
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Mon Jul 9 2018 | Version MetalPerformanceShaders-119.3 |