유사합니다. 즉, 이 모델에 대해 과대적합을 방지하기 위해 올바른 방향으로 최적화를 적용했
다는 것을 보여 줍니다.
에폭
훈련 손실
검증 손실
손실
그림
6-18
최적화된 훈련 손실과 검증 손실
192
1
부
모델 구축
6.2.4
모델을 사용해 문장 분류하기
지금까지 모델을 만들고, 훈련하고, 최적화해 과대적합을 일으키는 여러 문제를 제거했습니다.
다음 단계는 모델을 실행하고 결과를 확인하는 것입니다. 이를 위해 다음 새로운 문장으로 구
성된 리스트를 먼저 만듭니다.
sentences= ["granny starting to fear spiders in the garden might be real", "game
of thrones season finale showing this sunday night", "PyTorch book will be a best
seller"]
그다음 ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month, and much more.
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.
Head of Cybersecurity
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.
Field Engineer
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.
Data Platform Tech Lead
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.