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softmax运算
2022-04-22 02:22:00 【ManiacLook】
对于多类别预测,输出层要输出多个输出值,会造成一些问题。
1.输出值的范围不确定
由于输出层的输出值的范围不确定,我们难以直观上判断这些值的意义。
例如,假如有三个类别A、B、C,若类别A的输出值为10,B和C的输出值为0.1,则预测结果为A(置信度高);若类别A的输出值为10,B和C的输出值为1000,则预测结果就不为A(置信度低)。
2.真实标签为离散值
由于真实标签是离散值,这些离散值与不确定范围的输出值之间的误差难以衡量。
解决方法
softmax运算符(softmax operator)解决了以上两个问题。它通过下式将输出值变换成值为正且和为1的概率分布:

版权声明
本文为[ManiacLook]所创,转载请带上原文链接,感谢
https://blog.csdn.net/ManiacLook/article/details/121330079
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