| Topic | Replies | Views | Activity | |
|---|---|---|---|---|
| 汇聚层 |
|
29 | 11095 | January 24, 2026 |
| 关于可能的报错 |
|
0 | 358 | January 24, 2026 |
| 语言模型和数据集 |
|
39 | 16097 | January 20, 2026 |
| 序列模型 |
|
37 | 14467 | January 18, 2026 |
| 数据预处理 |
|
10 | 7592 | January 18, 2026 |
| 层和块 |
|
46 | 17846 | January 17, 2026 |
| Gaussian Process Priors |
|
2 | 1624 | January 15, 2026 |
| Object-Oriented Design for Implementation |
|
2 | 2513 | January 13, 2026 |
| Softmax回归 |
|
79 | 57061 | January 11, 2026 |
| Colab安装d2l报错 |
|
0 | 385 | 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 | 6661 | December 28, 2025 |
| Gaussian Process Inference |
|
3 | 1977 | December 23, 2025 |
| Multilayer Perceptrons |
|
14 | 7754 | December 16, 2025 |
| The Dataset for Pretraining BERT |
|
7 | 3303 | December 16, 2025 |
| 锚框 |
|
63 | 19928 | December 13, 2025 |
| 束搜索 |
|
21 | 9833 | December 12, 2025 |
| 为什么在 d2l 的 torch 包中没有 train_ch3 这个函数？ |
|
6 | 2859 | December 8, 2025 |
| Softmax回归的简洁实现 |
|
120 | 46032 | December 7, 2025 |
| Softmax回归的从零实现 |
|
155 | 58341 | December 5, 2025 |
| 从全连接层到卷积 |
|
42 | 21222 | December 4, 2025 |
| 多层感知机 |
|
34 | 22755 | December 3, 2025 |
| 目标检测和边界框 |
|
14 | 7701 | December 3, 2025 |
| 卷积神经网络（LeNet） |
|
102 | 43063 | December 2, 2025 |
| 数值稳定性和模型初始化 |
|
17 | 9977 | December 2, 2025 |
| 参数管理 |
|
26 | 16287 | November 30, 2025 |
| 风格迁移 |
|
11 | 5315 | November 27, 2025 |
| Language Models |
|
16 | 5640 | August 6, 2024 |
| Object-Oriented Design for Implementation |
|
15 | 6391 | November 25, 2025 |
| 概率 |
|
15 | 6024 | November 21, 2025 |
| 引言 |
|
48 | 45885 | November 21, 2025 |