logical-neural network of FP

问题描述

neural network of FP: 最近學習機械學習中對於backpropagation(BP)和FP不是很了解
請問一下高手在FP中的代價函數我無法找到相對應的Y
我是以logical classification 的想法下去思考
我的數學表達式如下
Theta=(n+1)*1的矩陣
Input_layer=m*(n+1)的矩陣
y=m*1的矩陣
設sigmoid(預測輸出) 是 1/(1+e^Input_layer*Theta)
所以我對代價函數的作法是
erro=(sigmoid-y)of each elememt ^2;
m=size(traning set of number);
cost function =sum(erro)/2m;
可是對於FP而言我只有想到inputer layer hide layer output later
所以我無法找到一個y去對應
因為size(inputer layer of number)!=size(hide layer of number)...
想請問我要如何求出neural network 的代價函數

时间： 2024-10-31 14:06:22

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