| Topic | Replies | Views | Activity | |
|---|---|---|---|---|
| 数据预处理 |
|
192 | 71363 | March 4, 2026 |
| Bahdanau 注意力 |
|
38 | 11637 | March 3, 2026 |
| 图像分类数据集 |
|
73 | 29000 | March 2, 2026 |
| Designing Convolution Network Architectures |
|
6 | 2241 | March 2, 2026 |
| Image Augmentation |
|
6 | 3188 | February 24, 2026 |
| 自动求导 |
|
92 | 52385 | February 19, 2026 |
| 概率 |
|
76 | 28813 | February 14, 2026 |
| 多层感知机的简洁实现 |
|
55 | 23996 | February 7, 2026 |
| 数据操作 |
|
70 | 67941 | February 6, 2026 |
| 线性回归 |
|
92 | 55235 | February 6, 2026 |
| 多层感知机的从零实现 |
|
2 | 2757 | February 2, 2026 |
| 线性回归的从零开始实现 |
|
159 | 73007 | February 2, 2026 |
| 注意力汇聚：Nadaraya-Watson 核回归 |
|
54 | 20199 | January 28, 2026 |
| 汇聚层 |
|
29 | 11239 | January 24, 2026 |
| 关于可能的报错 |
|
0 | 392 | January 24, 2026 |
| 语言模型和数据集 |
|
39 | 16342 | January 20, 2026 |
| 序列模型 |
|
37 | 14634 | January 18, 2026 |
| 数据预处理 |
|
10 | 7658 | January 18, 2026 |
| 层和块 |
|
46 | 18023 | January 17, 2026 |
| Gaussian Process Priors |
|
2 | 1676 | January 15, 2026 |
| Object-Oriented Design for Implementation |
|
2 | 2558 | January 13, 2026 |
| Softmax回归 |
|
79 | 57612 | January 11, 2026 |
| Colab安装d2l报错 |
|
0 | 425 | January 6, 2026 |
| 2026外网梯子推荐︱最佳翻墙机场︱科学上网VPN加速器节点 |
|
0 | 7684 | December 28, 2025 |
| Gaussian Process Inference |
|
3 | 2028 | December 23, 2025 |
| Multilayer Perceptrons |
|
14 | 7912 | December 16, 2025 |
| The Dataset for Pretraining BERT |
|
7 | 3356 | December 16, 2025 |
| 束搜索 |
|
21 | 10000 | December 12, 2025 |
| 为什么在 d2l 的 torch 包中没有 train_ch3 这个函数？ |
|
6 | 2901 | December 8, 2025 |
| Softmax回归的简洁实现 |
|
120 | 46400 | December 7, 2025 |