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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306
14
章 終わりに
きデータだけで、画像を（猫と犬のような）複数のクラスに分類できるようになるとよい。このような学
習はゼロショット学習（
zero shot learning
）も し く は ワンショット学習（
one shot learning
）と も 呼 ば れ
るが、これを可能にするには教師なし学習の分野で研究が進むのを待つほかない。
また、今日のほとんどの
AI
には創造性がない。訓練に用いたラベルに対するパターン認識に最適化
されているだけだ。直感や創造性を持つ
AI
を作るには、ラベルのない大量のデータを理解して人間が
気が付かないようなパターンを見出すような
AI
を作る必要がある。
幸い、
AI
が強い
AI
へと徐々に進歩している兆候は見られる。
Google DeepMind
の
AlphaGo
は良い例だ。
2015
年
10
月に人間のプロ棋士を打ち負かした最初の
AlphaGo
は、人間同士の棋譜データと強化学習などの機械学習手法（何手も先を読みどの手が勝率を
上げる可能性が高いかを決定する手法など）を使っていた。
このバージョンの
AlphaGo
の成果は目覚ましく、世界最強の棋士の
1
人である
Lee Sedol
を
2016
年
3
月に韓国のソウルで行われた
5
連戦で打ち負かした。しかし最新版の
AlphaGo
はもっと素晴らしい。
元の
AlphaGo
は人間の専門知識に依存していた。最新の
AlphaGo
である AlphaGo Zeroは、囲碁
で勝利する方法を、ゼロから自分との対戦のみで学習する
＊
1
。
AlphaGo Zero ...
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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.
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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.