May 2020
Beginner to intermediate
952 pages
24h 11m
Korean
Content preview from 핸즈온 머신러닝(2판): 사이킷런, 케라스, 텐서플로 2를 활용한 머신러닝, 딥러닝 완벽 실무
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818
2
부
신경망과 딥러닝
산의 입출력 텐서 크기 추정, 장치마다 가용한
RAM
용량, 장치에 데이터를 입출력할 때 발생
하는 통신 지연, 사용자가 지정한 힌트나 제약 사항 등을 고려합니다. 실전에서 이 알고리즘은
사용자가 지정한 배치
placement
규칙 몇 개보다 덜 효율적입니다. 이 때문에 텐서플로 팀은 동적
배치자를 삭제했습니다.
즉
tf
.
keras
와
tf
.
data
는 일반적으로 연산과 변수를 적절히 잘 배치합니다(예를 들어,
GPU
에
는 연산량이 높은 것을 배치하고
CPU
에는 데이터 전처리를 배치합니다 ). 하지만 상세하게 제
어하고 싶다면 수동으로 각 장치에 연산과 변수를 배치할 수도 있습니다.
•
방금 언급한 것처럼 일반적으로 데이터 전처리를
CPU
에 배치하고 신경망 연산은
GPU
에 배치합니다.
• GPU
는 보통 통신 대역폭에 제약이 많습니다. 따라서
GPU
입출력으로 불필요한 데이터 전송을 피하는
것이 중요합니다.
• CPU
RAM
을 머신에 추가하는 것은 간단하고 저렴해서 일반적으로 넉넉하게 사용합니다. 반면
GPU
RAM
은
GPU
에 고정되어 있습니다. 비싸고 제한된 자원이기 때문에 다음 훈련 스텝 몇 번에서 어떤 변수
가 필요하지 않다면 아마
CPU
에 배치해야 할 것입니다 (예를 들면, 데이터셋은 일반적으로
CPU
에 놓입
니다 ).
기본적으로 ...
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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.