| Topic | Replies | Views | Activity | |
|---|---|---|---|---|
| Image Augmentation |
|
6 | 3889 | February 24, 2026 |
| 自动求导 |
|
92 | 57472 | February 19, 2026 |
| 概率 |
|
76 | 32165 | February 14, 2026 |
| 多层感知机的简洁实现 |
|
55 | 26659 | February 7, 2026 |
| 数据操作 |
|
70 | 73418 | February 6, 2026 |
| 多层感知机的从零实现 |
|
2 | 3296 | February 2, 2026 |
| 关于可能的报错 |
|
0 | 782 | January 24, 2026 |
| 层和块 |
|
46 | 20226 | January 17, 2026 |
| Gaussian Process Priors |
|
2 | 2185 | January 15, 2026 |
| Object-Oriented Design for Implementation |
|
2 | 3029 | January 13, 2026 |
| Softmax回归 |
|
79 | 64735 | January 11, 2026 |
| Colab安装d2l报错 |
|
0 | 811 | 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 | 11472 | December 28, 2025 |
| Gaussian Process Inference |
|
3 | 2524 | December 23, 2025 |
| Multilayer Perceptrons |
|
14 | 9290 | December 16, 2025 |
| The Dataset for Pretraining BERT |
|
7 | 3998 | December 16, 2025 |
| 为什么在 d2l 的 torch 包中没有 train_ch3 这个函数？ |
|
6 | 3450 | December 8, 2025 |
| 从全连接层到卷积 |
|
42 | 25102 | December 4, 2025 |
| 多层感知机 |
|
34 | 25480 | December 3, 2025 |
| 目标检测和边界框 |
|
14 | 8848 | December 3, 2025 |
| 数值稳定性和模型初始化 |
|
17 | 11058 | December 2, 2025 |
| 参数管理 |
|
26 | 18094 | November 30, 2025 |
| Language Models |
|
16 | 6736 | August 6, 2024 |
| Object-Oriented Design for Implementation |
|
15 | 8159 | November 25, 2025 |
| 引言 |
|
48 | 53525 | November 21, 2025 |
| 含并行连结的网络（GoogLeNet） |
|
28 | 11493 | November 13, 2025 |
| 自然语言推断：使用注意力 |
|
3 | 2192 | November 12, 2025 |
| Training on Multiple GPUs |
|
3 | 2962 | November 12, 2025 |
| A problem in chapter 3.2, linear regression implementation |
|
2 | 2297 | November 10, 2025 |
| 微分 |
|
100 | 51419 | November 10, 2025 |