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臺灣大學 (NTU) 李宏毅教授「機器學習 (Machine Learning) 2021 Spring 」課程筆記
| Date | Stars |
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| 2026-07-31 | 588 |
| 2026-08-06 | 591 |
| 2026-08-07 | 591 |
| 2026-08-08 | 592 |
| 2026-08-10 | 593 |
| 2026-08-13 | 594 |
| 2026-08-14 | 594 |
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| 2026-08-25 | 598 |
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| 2026-09-19 | 605 |
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| 2026-09-23 | 607 |
| 2026-09-26 | 609 |
| 2026-09-30 | 608 |
| 2026-10-13 | 607 |
| 2026-10-22 | 610 |
| 2026-10-27 | 609 |
| 2026-11-04 | 610 |
Today
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# 臺灣大學李宏毅教授「機器學習 2021 Spring」課程筆記
此筆記內容為臺灣大學李宏毅教授 2021 Spring 的[機器學習 (Machine Learning) 課程](https://www.youtube.com/playlist?list=PLJV_el3uVTsMhtt7_Y6sgTHGHp1Vb2P2J) (YouTube) 。
筆記中的圖片皆擷取自老師的上課簡報，來自於老師的[課程網站](https://speech.ee.ntu.edu.tw/~hylee/ml/2021-spring.php) 。
* Dcard [研究所版 分享文](https://www.dcard.tw/f/graduate_school/p/241639442)
* Dcard [軟體工程師版 分享文](https://www.dcard.tw/f/softwareengineer/p/241639712)
行有餘力的話，可以幫我點個星星 ⭐，非常感謝 🙂
---
## 💡 Reminds
**1.** 提供 [Notion](https://chsiang.notion.site/ntuml2021notes)、[Website](https://chsiang426.github.io/ML-2021-notes/) 兩種線上筆記資源，以及 [PDF](https://github.com/chsiang426/ML-2021-notes/tree/main/PDF) 可供下載。
**2.** 筆記內容皆照著老師的上課內容消化理解製作，若有理解錯誤，請不吝指正。
**3.** 筆記有幾個小部分不完整（老師有講但我沒有寫下來），還請見諒。
---
## 📖 Notes
<table>
<thead>
<tr>
<th colspan="4" align="center">以章節劃分</th>
</tr>
<tr>
<th align="center">#</th>
<th align="center">Topic</th>
<th align="center">Note Link</th>
<th align="center">Video</th>
</tr>
</thead>
<tbody>
<tr>
<td align="center">01</td>
<td align="center">機器學習基本概念簡介</td>
<td align="center"><a href="https://chsiang.notion.site/01-b6979cc5ba9b4e2887d2b5e86c174897">Notion</a> / <a href="https://chsiang426.github.io/ML-2021-notes/01-機器學習基本概念簡介/01-機器學習基本概念簡介.html">Website</a> / <a href="https://github.com/chsiang426/ML-2021-notes/blob/main/PDF/01-%E6%A9%9F%E5%99%A8%E5%AD%B8%E7%BF%92%E5%9F%BA%E6%9C%AC%E6%A6%82%E5%BF%B5%E7%B0%A1%E4%BB%8B.pdf">PDF</a></td>
<td align="center"><a href="https://youtu.be/Ye018rCVvOo">video 1</a>, <a href="https://youtu.be/bHcJCp2Fyxs">video 2</a></td>
</tr>
<tr>
<td align="center">02</td>
<td align="center">DeepLearning<br/>1. General Guidance<br/>2. 類神經網路優化技巧<br/>3. Loss of Classification</td>
<td align="center">
1. <a href="https://chsiang.notion.site/02-1-DeepLearning-General-Guidance-8a5b0e746c03406eba3921c51734629c">Notion</a> / <a href="https://chsiang426.github.io/ML-2021-notes/02.1-DeepLearning-General%20Guidance/02.1-DeepLearning-General%20Guidance.html">Website</a> / <a href="https://github.com/chsiang426/ML-2021-notes/blob/main/PDF/02.1-deeplearning-general_guidance.pdf">PDF</a><br/>
2. <a href="https://chsiang.notion.site/02-2-DeepLearning-002585231c2f413bbc626e00e464694d">Notion</a> / <a href="https://chsiang426.github.io/ML-2021-notes/02.2-DeepLearning-%E9%A1%9E%E7%A5%9E%E7%B6%93%E7%B6%B2%E8%B7%AF%E5%84%AA%E5%8C%96%E6%8A%80%E5%B7%A7/02.2-DeepLearning-%E9%A1%9E%E7%A5%9E%E7%B6%93%E7%B6%B2%E8%B7%AF%E5%84%AA%E5%8C%96%E6%8A%80%E5%B7%A7.html">Website</a> / <a href="https://github.com/chsiang426/ML-2021-notes/blob/main/PDF/02.2-deeplearning-%E9%A1%9E%E7%A5%9E%E7%B6%93%E7%B6%B2%E8%B7%AF%E5%84%AA%E5%8C%96%E6%8A%80%E5%B7%A7.pdf">PDF</a><br/>
3. <a href="https://chsiang.notion.site/02-3-DeepLearning-Loss-of-Classification-f492fe29ad284cc7bc3837600dc2f5d6">Notion</a> / <a href="https://chsiang426.github.io/ML-2021-notes/02.3-DeepLearning-Loss%20of%20Classification/02.3-DeepLearning-Loss%20of%20Classification.html">Website</a> / <a href="https://github.com/chsiang426/ML-2021-notes/blob/main/PDF/02.3-deeplearning-loss_of_classification.pdf">PDF</a>
</td>
<td align="center"><a href="https://youtu.be/WeHM2xpYQpw">video 1</a>, <a href="https://youtu.be/QW6uINn7uGk">video 2</a>, <a href="https://youtu.be/zzbr1h9sF54">video 3</a>, <a href="https://youtu.be/HYUXEeh3kwY">video 4</a>, <a href="https://youtu.be/O2VkP8dJ5FE">video 5</a>, <a href="https://youtu.be/BABPWOkSbLE">video 6</a></td>
</tr>
<tr>
<td align="center">03</td>
<td align="center">CNN<br>（卷積神經網路）</td>
<td align="center"><a href="https://chsiang.notion.site/03-CNN-86e7f137fdd0494fb08f236d34c67b6e">Notion</a> / <a href="https://chsiang426.github.io/ML-2021-notes/03-CNN（卷積神經網路）/03-CNN（卷積神經網路）.html">Website</a> / <a href="https://github.com/chsiang426/ML-2021-notes/blob/main/PDF/03-CNN%EF%BC%88%E5%8D%B7%E7%A9%8D%E7%A5%9Excerpt of 12,729 characters
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matched fp:1353e607b7ef4d8f, topic:deep-learning
matched fp:1353e607b7ef4d8f, topic:transformer
matched fp:1353e607b7ef4d8f, topic:gan
matched fp:1353e607b7ef4d8f, topic:reinforcement-learning