June 2024
Beginner to intermediate
352 pages
9h 29m
Korean
Content preview from 개발자를 위한 필수 수학
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264
개발자를 위한 필수 수학
그림
7-8
각 픽셀을 입력으로 받아 이미지에 담긴 숫자를 예측하는 신경망
MNIST
데이터셋을 사용하는 신경망 예제는 부록
A
.
10
절에서 확인하세요.
TIP
어떤 활성화 함수을 사용해야 할지 모르겠어요!
어떤 활성화 함수를 사용해야 할지 잘 모르겠다면 모범 사례를 따르는 것이 좋습니다. 일반적으로 중간 층에
는 렐루를, 출력 층에는 로지스틱(시그모이드)을 사용합니다. 다중 분류를 수행하는 경우에는 출력 층에 소프
트맥스를 사용합니다.
7.2.2
정방향 계산
지금까지 배운 내용을 넘파이를 사용해 구현해봅시다. 아직 모델 파라미터(가중치 및 편향값)
를 최적화하지 않았으므로 임의의 값으로 초기화합니다.
265
7
장
신경망
[예제
7
-
3
]은 간단한
피드 포워드 신경망
feed
-
forward
neural
network
을 생성하는 파이썬 코드로 아직
최적화하지 않았습니다. 피드 포워드란 신경망에 각 픽셀의 색상값을 입력한 후 각 층의 결과
를 신경망의 앞쪽으로 계속 전달해 출력 결과를 얻는 것입니다. 가중치와 편향은 무작위로 초
기화되고 이 장의 뒷부분에서 최적화해봅니다. ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.