| Topic | Replies | Views | Activity | |
|---|---|---|---|---|
| Concise Implementation of Recurrent Neural Networks |
|
4 | 2542 | April 4, 2026 |
| 预训练BERT |
|
22 | 5904 | April 2, 2026 |
| 权重衰减 |
|
59 | 21469 | March 28, 2026 |
| 模型选择、欠拟合和过拟合 |
|
89 | 28362 | March 27, 2026 |
| 最佳Clash机场推荐︱性价比机场︱稳定的魔法梯子工具 |
|
0 | 14728 | March 25, 2026 |
| I turned Dive into Deep Learning into a video course - free to explore |
|
0 | 878 | March 23, 2026 |
| Installation |
|
51 | 37490 | March 17, 2026 |
| 多头注意力 |
|
61 | 25211 | March 16, 2026 |
| 数据预处理 |
|
192 | 72337 | March 4, 2026 |
| Bahdanau 注意力 |
|
38 | 11843 | March 3, 2026 |
| 图像分类数据集 |
|
73 | 29386 | March 2, 2026 |
| Designing Convolution Network Architectures |
|
6 | 2332 | March 2, 2026 |
| Image Augmentation |
|
6 | 3286 | February 24, 2026 |
| 自动求导 |
|
92 | 52924 | February 19, 2026 |
| 概率 |
|
76 | 29196 | February 14, 2026 |
| 多层感知机的简洁实现 |
|
55 | 24248 | February 7, 2026 |
| 数据操作 |
|
70 | 68516 | February 6, 2026 |
| 线性回归 |
|
92 | 55911 | February 6, 2026 |
| 多层感知机的从零实现 |
|
2 | 2834 | February 2, 2026 |
| 线性回归的从零开始实现 |
|
159 | 73883 | February 2, 2026 |
| 注意力汇聚：Nadaraya-Watson 核回归 |
|
54 | 20496 | January 28, 2026 |
| 汇聚层 |
|
29 | 11390 | January 24, 2026 |
| 关于可能的报错 |
|
0 | 437 | January 24, 2026 |
| 语言模型和数据集 |
|
39 | 16668 | January 20, 2026 |
| 序列模型 |
|
37 | 14833 | January 18, 2026 |
| 层和块 |
|
46 | 18235 | January 17, 2026 |
| Gaussian Process Priors |
|
2 | 1734 | January 15, 2026 |
| Object-Oriented Design for Implementation |
|
2 | 2609 | January 13, 2026 |
| Softmax回归 |
|
79 | 58365 | January 11, 2026 |
| Colab安装d2l报错 |
|
0 | 484 | January 6, 2026 |