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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778
2
부
신경망과 딥러닝
NOTE
_
샘플링된 한 경로가 두 개(또는 그 이상의) 에피소드에 걸칠 수 있습니다! 이런 경우
step
_
type
이
2
(끝)이고
next
_
step
_
type
이
0
(시작)인 전이를 의미하는
경계 전이
boundary
transition
가 포함될 것입니다. 물론
TF
-
Agents
는 이런 경로를 적절하게 처리합니다(예를 들어 경계에 도달하면 정책 상태를 재설정합니다). 경
로의
is
_
boundary
()
메서드는 각 스텝이 경계에 있는지를 나타내는 텐서를 반환합니다.
주 훈련 반복문에서
get
_
next
()
메서드를 호출하는 대신
tf
.
data
.
Dataset
을 사용하겠습니
다. 이렇게 하면
Data
API
의 장점을 사용할 수 있습니다 (예를 들면 병렬화와 프리페칭 ). 이를
위해 재생 버퍼의
as
_
dataset
()
메서드를 호출합니다.
dataset = replay_buffer.as_dataset(
sample_batch_size=64,
num_steps=2,
num_parallel_calls=3).prefetch(3)
(
2015
년
DQN
논문처럼) 훈련 스텝마다
64
개 경로의 배치를 샘플링하겠습니다. 각 경로는
2
개의 스텝을 포함합니다(즉,
2
개의 스텝
=
다음 스텝의 관측을 가진
1
개의 완전한 전이입니
다). 이 데이터셋은
3
개를 병렬로 ...
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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.