| Topic | Replies | Views | Activity | |
|---|---|---|---|---|
| 前言 |
|
25 | 35230 | March 23, 2026 |
| I turned Dive into Deep Learning into a video course - free to explore |
|
0 | 40 | March 23, 2026 |
| Preface |
|
26 | 11861 | March 21, 2026 |
| Installation |
|
51 | 33991 | March 17, 2026 |
| 多头注意力 |
|
61 | 23949 | March 16, 2026 |
| 自注意力和位置编码 |
|
27 | 8941 | March 11, 2026 |
| 模型选择、欠拟合和过拟合 |
|
88 | 26790 | March 9, 2026 |
| 数据预处理 |
|
192 | 69442 | March 4, 2026 |
| Bahdanau 注意力 |
|
38 | 11275 | March 3, 2026 |
| 线性代数 |
|
89 | 47400 | March 3, 2026 |
| Concise Implementation of Recurrent Neural Networks |
|
3 | 2173 | March 2, 2026 |
| 图像分类数据集 |
|
73 | 28164 | March 2, 2026 |
| Designing Convolution Network Architectures |
|
6 | 2037 | March 2, 2026 |
| Image Augmentation |
|
6 | 3001 | February 24, 2026 |
| 自动求导 |
|
92 | 51283 | February 19, 2026 |
| 概率 |
|
76 | 28025 | February 14, 2026 |
| 多层感知机的简洁实现 |
|
55 | 23351 | February 7, 2026 |
| 数据操作 |
|
70 | 66002 | February 6, 2026 |
| 线性回归 |
|
92 | 53598 | February 6, 2026 |
| 多层感知机的从零实现 |
|
2 | 2580 | February 2, 2026 |
| 线性回归的从零开始实现 |
|
159 | 71200 | February 2, 2026 |
| 注意力汇聚：Nadaraya-Watson 核回归 |
|
54 | 19483 | January 28, 2026 |
| 汇聚层 |
|
29 | 10826 | January 24, 2026 |
| 关于可能的报错 |
|
0 | 263 | January 24, 2026 |
| 语言模型和数据集 |
|
39 | 15679 | January 20, 2026 |
| 序列模型 |
|
37 | 14171 | January 18, 2026 |
| 数据预处理 |
|
10 | 7482 | January 18, 2026 |
| 层和块 |
|
46 | 17563 | January 17, 2026 |
| Gaussian Process Priors |
|
2 | 1575 | January 15, 2026 |
| Object-Oriented Design for Implementation |
|
2 | 2440 | January 13, 2026 |