22. Neural Networks Overview
2023. 9. 9. 13:20ㆍGoogle ML Bootcamp/1. Neural Networks and Deep Learning
Logistic Regression의 경우 layer가 1개
WX + b -> Z -> A -> L(A,Y)
Neural Network의 경우 layer가 여러개 - 예시는 two layer
W(1)X + b -> Z(1) -> A(1) -> W(2)A + b -> Z(2) -> A(2) -> L(A(2), Y)
- 즉 각 layer의 output 인 A(i)가 다음 Layer의 input으로 들어가는 구조
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