Answer by Ren for Java based Neural Network --- how to implement backpropagation
what if my Output is 1 but my target is not?The sigmoid function 1/(1 + Math.exp(-x)) never equates to 1. The lim as x approaches infinity is equal to 0, but this is a horizontal asymptote, so the...
View ArticleAnswer by Dominic Cerisano for Java based Neural Network --- how to implement...
You might want to compare your code to this single layer perceptron.I think you have a bug in your backprop algo. Also, try replacing the sigmoid with a...
View ArticleAnswer by mbatchkarov for Java based Neural Network --- how to implement...
Some of the best textbooks on neural networks in general are Chris Bishop's and Simon Haykin's. Try reading through the chapter on backprop and understand why the terms in the weight update rule are...
View ArticleJava based Neural Network --- how to implement backpropagation
I am building a test neural network and it is definitely not working. My main problem is backpropagation. From my research, I know that it is easy to use the sigmoid function. Therefore, I update each...
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