吴裕雄 python深度学习与实践（4）

import numpy,math

def softmax(inMatrix):
    m,n = numpy.shape(inMatrix)
    outMatrix = numpy.mat(numpy.zeros((m,n)))
    soft_sum = 0
    for idx in range(0,n):
        outMatrix[0,idx] = math.exp(inMatrix[0,idx])
        soft_sum += outMatrix[0,idx]
    for idx in range(0,n):
        outMatrix[0,idx] = outMatrix[0,idx] / soft_sum
    return outMatrix

aa = numpy.matrix([1,2,3,4,5,4,3,9,8])
outMatrix = softmax(aa)
print(outMatrix)

原文地址：https://www.cnblogs.com/tszr/p/10353517.html

时间： 2024-11-06 09:43:41

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