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『ゼロから作る Deep Learning ❺』(O'Reilly Japan, 2024)
| Date | Stars |
|---|---|
| 2026-07-31 | 451 |
| 2026-08-05 | 451 |
| 2026-08-06 | 451 |
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ゼロから作る Deep Learning ❺ ============================= [<img src="https://raw.githubusercontent.com/oreilly-japan/deep-learning-from-scratch-5/images/cover.png" width="200px">](https://www.amazon.co.jp/dp/4814400594/) 書籍『[ゼロから作るDeep Learning ❺](https://www.amazon.co.jp/dp/4814400594/)』（オライリー・ジャパン発行）のサポートサイトです。本書籍で使用するソースコードがまとめられています。 ## ファイル構成 |フォルダ名 |説明 | |:-- |:-- | |`step01` |ステップ1で使用するコード | |`step02` |ステップ2で使用するコード | |... |... | |`step10` |ステップ10で使用するコード | |`notebooks` |ステップ1〜10までのコード（Jupyter Notebook形式）| ## Jupyter Notebook 本書のコードはJupyter Notebookでも用意しています。次の表にあるボタンをクリックすることで、Google ColabやKaggle Notebookなどのクラウドサービス上でNotebookを実行することができます。 | ステップ | Colab | Kaggle | Studio Lab | | :--- | :--- | :--- | :--- | | 1. 正規分布 | [](https://colab.research.google.com/github/oreilly-japan/deep-learning-from-scratch-5/blob/master/notebooks/01_normal.ipynb) | [](https://kaggle.com/kernels/welcome?src=https://github.com/oreilly-japan/deep-learning-from-scratch-5/blob/master/notebooks/01_normal.ipynb) | [](https://studiolab.sagemaker.aws/import/github/oreilly-japan/deep-learning-from-scratch-5/blob/master/notebooks/01_normal.ipynb) | | 2. 最尤推定 | [](https://colab.research.google.com/github/oreilly-japan/deep-learning-from-scratch-5/blob/master/notebooks/02_mle.ipynb) | [](https://kaggle.com/kernels/welcome?src=https://github.com/oreilly-japan/deep-learning-from-scratch-5/blob/master/notebooks/02_mle.ipynb) | [](https://studiolab.sagemaker.aws/import/github/oreilly-japan/deep-learning-from-scratch-5/blob/master/notebooks/02_mle.ipynb) | | 3. 多次元正規分布 | [](https://colab.research.google.com/github/oreilly-japan/deep-learning-from-scratch-5/blob/master/notebooks/03_multi_normal.ipynb) | [](https://kaggle.com/kernels/welcome?src=https://github.com/oreilly-japan/deep-learning-from-scratch-5/blob/master/notebooks/03_multi_normal.ipynb) | [](https://studiolab.sagemaker.aws/import/github/oreilly-japan/deep-learning-from-scratch-5/blob/master/notebooks/03_multi_normal.ipynb) | | 4. 混合ガウスモデル | [](https://colab.research.google.com/github/oreilly-japan/deep-learning-from-scratch-5/blob/master/notebooks/04_gmm.ipynb) | [](https://kaggle.com/kernels/welcome?src=https://github.com/oreilly-japan/deep-learning-from-scratch-5/blob/master/notebooks/04_gmm.ipynb) | [](https://studiolab.sagemaker.aws/import/github/oreilly-japan/deep-learning-from-scratch-5/blob/master/notebooks/04_gmm.ipynb) | | 5. EMアルゴリズム | [](https://colab.research.google.com/github/oreilly-japan/deep-learning-from-scratch-5/blob/master/notebooks/05_em.ipynb) | [](https://kaggle.com/kernels/welcome?src=https://github.com/oreilly-japan/deep-learning-from-scratch-5/blob/master/notebooks/05_em.ipynb) | [](https://studiolab.sagemaker.aws/import/github/oreilly-japan/deep-learning-from-scratch-5/blob/master/notebooks/05_em.ipynb) | |
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:23130fe1717a2e79, llm:Repository contains materials for the book 'Deep Learning from Scratch 5' (Japanese O'Reilly, 2024) — educational book contents/notebooks for learning deep learning.