MPSCNNSoftMax(3) MetalPerformanceShaders.framework MPSCNNSoftMax(3)NAMEMPSCNNSoftMaxSYNOPSIS#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-100 Thu Feb 8 2018 MPSCNNSoftMax(3)