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The text was updated successfully, but these errors were encountered:
(linear) hypothesis
H(x) = Wx +b
Sorry, something went wrong.
= loss function, objective function minimun value 찾는게 관건 H(x) - y cost = 1/m sigma from i=1 to i = m (H(x)-y)^2
결국 , 중요한거는 minimize cost
minimize cost function 경사도가 없는 부분 (기울기 =0) 인 곳까지 내려가 기울기니까 미분을 활용 최소비용에 수렴할 때 까지 반복 알파가 너무 크면 오버슈팅 알파가 너무 작으면 최소비용에 수렴하는데 시간 너무 오래 걸려
- 어느방향으로 얼마만큼 이동할 것인가 linear hypothesis -> convex function ( global minimum 가져) non-convex function -> global minimum 보장 못해
- 어느방향으로 얼마만큼 이동할 것인가
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The text was updated successfully, but these errors were encountered: