| Topic | Replies | Views | Activity | |
|---|---|---|---|---|
| 序列模型 |
|
37 | 14441 | January 18, 2026 |
| 数据预处理 |
|
10 | 7583 | January 18, 2026 |
| 层和块 |
|
46 | 17812 | January 17, 2026 |
| Gaussian Process Priors |
|
2 | 1616 | January 15, 2026 |
| Object-Oriented Design for Implementation |
|
2 | 2498 | January 13, 2026 |
| Softmax回归 |
|
79 | 56923 | January 11, 2026 |
| Colab安装d2l报错 |
|
0 | 374 | 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 | 6481 | December 28, 2025 |
| Gaussian Process Inference |
|
3 | 1967 | December 23, 2025 |
| Multilayer Perceptrons |
|
14 | 7727 | December 16, 2025 |
| The Dataset for Pretraining BERT |
|
7 | 3293 | December 16, 2025 |
| 锚框 |
|
63 | 19896 | December 13, 2025 |
| 束搜索 |
|
21 | 9796 | December 12, 2025 |
| 为什么在 d2l 的 torch 包中没有 train_ch3 这个函数？ |
|
6 | 2846 | December 8, 2025 |
| Softmax回归的简洁实现 |
|
120 | 45829 | December 7, 2025 |
| Softmax回归的从零实现 |
|
155 | 58182 | December 5, 2025 |
| 从全连接层到卷积 |
|
42 | 21170 | December 4, 2025 |
| 多层感知机 |
|
34 | 22707 | December 3, 2025 |
| 目标检测和边界框 |
|
14 | 7690 | December 3, 2025 |
| 卷积神经网络（LeNet） |
|
102 | 42988 | December 2, 2025 |
| 数值稳定性和模型初始化 |
|
17 | 9968 | December 2, 2025 |
| 参数管理 |
|
26 | 16260 | November 30, 2025 |
| 风格迁移 |
|
11 | 5303 | November 27, 2025 |
| Language Models |
|
16 | 5617 | August 6, 2024 |
| Object-Oriented Design for Implementation |
|
15 | 6315 | November 25, 2025 |
| 概率 |
|
15 | 6014 | November 21, 2025 |
| 引言 |
|
48 | 45760 | November 21, 2025 |
| Transformer |
|
52 | 26137 | November 17, 2025 |
| 安装 |
|
58 | 50373 | November 16, 2025 |
| 通过时间反向传播 |
|
22 | 9678 | November 14, 2025 |