[英]Should I Scale My Equation Output Data?
With this link i implemented a neural network to calculate y=x*x
(x is input and y is output) equation.I took 1 unit in input layer,4 unit in hidden layer and 1 unit in output layer. 通过这个链接,我实现了一个神经网络来计算y=x*x
(x是输入,y是输出)equation.I在输入层中占用1个单位,在隐藏层中占用4个单位,在输出层中占用1个单位。 But When I enter for example 2
as input(so desired output is 4) i got output value 0.99999999.... also this happens for all other input numbers bigger than 1(Its output is correct with value between 0 and 1). 但是当我输入例如2
作为输入时(所需输出为4)我得到输出值0.99999999 ....这也适用于所有其他大于1的输入数字(其输出正确,值介于0和1之间)。 also I used this link and changed it to solve my equation,but the output was the same! 我也用这个链接改变它来解决我的方程,但输出是一样的!
正如Pete Said.I应该规范化我的输出(和输入)以获得正确的答案。
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