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|---|---|---|---|---|
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59 | 21367 | March 28, 2026 |
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89 | 28217 | March 27, 2026 |
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0 | 13851 | March 25, 2026 |
| I turned Dive into Deep Learning into a video course - free to explore |
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0 | 817 | March 23, 2026 |
| Installation |
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51 | 37118 | March 17, 2026 |
| 多头注意力 |
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61 | 25084 | March 16, 2026 |
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192 | 72028 | March 4, 2026 |
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38 | 11770 | March 3, 2026 |
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73 | 29279 | March 2, 2026 |
| Designing Convolution Network Architectures |
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6 | 2313 | March 2, 2026 |
| Image Augmentation |
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6 | 3269 | February 24, 2026 |
| 自动求导 |
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92 | 52751 | February 19, 2026 |
| 概率 |
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76 | 29077 | February 14, 2026 |
| 多层感知机的简洁实现 |
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55 | 24177 | February 7, 2026 |
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70 | 68366 | February 6, 2026 |
| 线性回归 |
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92 | 55730 | February 6, 2026 |
| 多层感知机的从零实现 |
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2 | 2821 | February 2, 2026 |
| 线性回归的从零开始实现 |
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159 | 73621 | February 2, 2026 |
| 注意力汇聚：Nadaraya-Watson 核回归 |
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54 | 20401 | January 28, 2026 |
| 汇聚层 |
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29 | 11353 | January 24, 2026 |
| 关于可能的报错 |
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0 | 427 | January 24, 2026 |
| 语言模型和数据集 |
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39 | 16592 | January 20, 2026 |
| 序列模型 |
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37 | 14778 | January 18, 2026 |
| 层和块 |
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46 | 18174 | January 17, 2026 |
| Gaussian Process Priors |
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2 | 1724 | January 15, 2026 |
| Object-Oriented Design for Implementation |
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2 | 2602 | January 13, 2026 |
| Softmax回归 |
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79 | 58136 | January 11, 2026 |
| Colab安装d2l报错 |
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0 | 471 | January 6, 2026 |
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0 | 8532 | December 28, 2025 |
| Gaussian Process Inference |
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3 | 2079 | December 23, 2025 |