April 2020
Intermediate to advanced
344 pages
8h 22m
Japanese
Content preview from Pythonではじめる教師なし学習 ―機械学習の可能性を広げるラベルなしデータの利用
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304
14
章 終わりに
ワークについて説明した。ここでも、
MNIST
の数字画像と似た合成画像の生成を行った。
14.3
強化学習
本書では強化学習をまったく扱わなかったが、強化学習は機械学習の一分野で、近年のボードゲー
ムやビデオゲームでの成功によって、特に注目を集めるようになっている。
最もよく知られているのは数年前に
Google DeepMind
が公開した囲碁ソフトウェア AlphaGoだ。
AlphaGo
は、
2016
年
3
月に世界チャンピオンである
Lee Sedol
に歴史的な勝利を収めた。これは多くの
識者が
AI
が人間に勝つには
10
年はかかると予想していた中での偉業で、
AI
分野の発展が著しいこと
を世間に知らしめた。
さらに、
Google DeepMind
は強化学習を教師なし学習と組み合わせ、
AlphaGo
の改良版を作成し
た。AlphaGo Zeroと呼ばれるこのシステムは、人間のプレーヤからの情報をまったく用いない。
このシステムの成功は機械学習の複数の分野を掛け合わせたことで得られたものであり、次の機械
学習の成功の波はラベル付けされていないデータを利用する方法を見つけることで、現在はラベル付
けされたデータセットに強く依存している既存の機械学習を改良することにある、という本書のテーマ
を裏付けるものだ。
14.4
教師なし学習応用が期待される分野
教師なし学習の現在と未来について述べて、本書のまとめとしよう。今日、教師なし学習はさまざま
な分野で産業に応用されている。このリストのトップに来るのは、異 ...
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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.