boostcamp AI tech (73) 썸네일형 리스트형 Why do we need activation function? 1. Why do we need activation function? learns the function f which best determines the relationship between input x and output y. -> Unfortunately this relation in most cases is non-linear For example a single sigmoid function looks like this. Now, by joining multiple such sigmoid curves at different layers of FNN, you can almost figure out any complex relations between input and output. - 이론적으로.. 이전 1 ··· 7 8 9 10 다음
