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Title: Core ML入門 by ayanentity · Pull Request #26 · ayanentity/Swift_Developer_tutorial · GitHub

Open Graph Title: Core ML入門 by ayanentity · Pull Request #26 · ayanentity/Swift_Developer_tutorial

X Title: Core ML入門 by ayanentity · Pull Request #26 · ayanentity/Swift_Developer_tutorial

Description: Apple公式 Swift開発のチュートリアルを記録しています．詳細はnoteから. Contribute to ayanentity/Swift_Developer_tutorial development by creating an account on GitHub.

Open Graph Description: ###やってみたこと https://developer.apple.com/tutorials/develop-in-swift/custom-models-with-core-ml 覚えたこと・気づき データは学習データと評価する検証データの二つが必要 Maximum Errorが0.5未満だとこの学習モデルの性能が良いことになる． 線形回帰モデルとか決定木とかなんとなく理解しているけ...

X Description: ###やってみたこと https://developer.apple.com/tutorials/develop-in-swift/custom-models-with-core-ml 覚えたこと・気づき データは学習データと評価する検証データの二つが必要 Maximum Errorが0.5未満だとこの学習モデルの性能が良いことになる． 線形回帰モデルとか決定木とかなんとなく理解しているけ...

Opengraph URL: https://github.com/ayanentity/Swift_Developer_tutorial/pull/26

X: @github

direct link

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og:image:alt###やってみたこと https://developer.apple.com/tutorials/develop-in-swift/custom-models-with-core-ml 覚えたこと・気づき データは学習データと評価する検証データの二つが必要 Maximum Errorが0.5未満だとこの学習モデルの性能が良いことになる． 線形回帰モデルとか決定木とかなんとなく理解しているけ...
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