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内容由Lucas Dixon and People + AI Research提供。所有播客内容(包括剧集、图形和播客描述)均由 Lucas Dixon and People + AI Research 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal
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From tic-tac-toe moves to ML model

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Manage episode 268430158 series 2770146
内容由Lucas Dixon and People + AI Research提供。所有播客内容(包括剧集、图形和播客描述)均由 Lucas Dixon and People + AI Research 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Once we have the data we need—thousands of sample games--how do we turn it into something the ML can train itself on? That means understanding how training works, and what a model is.

Resources:
See a definition of one-hot encoding

For more information about the show, check out pair.withgoogle.com/thehardway.

You can reach out to the hosts on Twitter: @dweinberger and @tafsiri.

  continue reading

10集单集

Artwork
icon分享
 
Manage episode 268430158 series 2770146
内容由Lucas Dixon and People + AI Research提供。所有播客内容(包括剧集、图形和播客描述)均由 Lucas Dixon and People + AI Research 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Once we have the data we need—thousands of sample games--how do we turn it into something the ML can train itself on? That means understanding how training works, and what a model is.

Resources:
See a definition of one-hot encoding

For more information about the show, check out pair.withgoogle.com/thehardway.

You can reach out to the hosts on Twitter: @dweinberger and @tafsiri.

  continue reading

10集单集

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