대부분의 딥러닝 프레임워크는 다양한 최적화 기법을 구현해 제공하며, 원하는 기법으로 쉽게 바꿀
수 있는 구조로 되어 있습니다. 예를 들어
Lasagne
이라는 딥러닝 프레임워크는 다양한 최적화 기법 구현해
updates
.
py
*
파일에 함수로 정리해두었습니다. 사용자는 그중 쓰고 싶은 기법을 선택할 수 있습니다.
6.1.3
SGD
의 단점
SGD
는 단순하고 구현도 쉽지만, 문제에 따라서는 비효율적일 때가 있습니다. 이번 절에서는
SGD
의 단점을 알아보고자 다음 함수의 최솟값을 구하는 문제를 생각해보겠습니다.
fx
yx
y(,)
20
1
22
=+
[식 6.2]
이 함수는 [그림
6
-
1
]의 왼쪽과 같이 ‘밥그릇’을
x
축 방향으로 늘인 듯한 ...
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