| Topic | Replies | Views | Activity | |
|---|---|---|---|---|
| Gaussian Process Priors |
|
2 | 1332 | January 15, 2026 |
| Object-Oriented Design for Implementation |
|
2 | 2203 | January 13, 2026 |
| Softmax回归 |
|
79 | 53238 | January 11, 2026 |
| Colab安装d2l报错 |
|
0 | 118 | January 6, 2026 |
| 数据预处理 |
|
187 | 66684 | December 31, 2025 |
| 数据操作 |
|
69 | 63509 | December 31, 2025 |
| 自动求导 |
|
91 | 49378 | December 30, 2025 |
| 2026外网梯子推荐︱最佳翻墙机场︱科学上网VPN加速器节点 |
|
0 | 1407 | December 28, 2025 |
| 微分 |
|
29 | 13027 | December 27, 2025 |
| 语言模型和数据集 |
|
38 | 14640 | December 24, 2025 |
| Gaussian Process Inference |
|
3 | 1718 | December 23, 2025 |
| Multilayer Perceptrons |
|
14 | 7117 | December 16, 2025 |
| The Dataset for Pretraining BERT |
|
7 | 3009 | December 16, 2025 |
| 模型选择、欠拟合和过拟合 |
|
86 | 25506 | December 15, 2025 |
| 汇聚层 |
|
28 | 10235 | December 15, 2025 |
| 锚框 |
|
63 | 18999 | December 13, 2025 |
| 束搜索 |
|
21 | 8940 | December 12, 2025 |
| 为什么在 d2l 的 torch 包中没有 train_ch3 这个函数？ |
|
6 | 2405 | December 8, 2025 |
| Softmax回归的简洁实现 |
|
120 | 43005 | December 7, 2025 |
| Softmax回归的从零实现 |
|
155 | 55478 | December 5, 2025 |
| 从全连接层到卷积 |
|
42 | 19539 | December 4, 2025 |
| 多层感知机 |
|
34 | 21530 | December 3, 2025 |
| 目标检测和边界框 |
|
14 | 7274 | December 3, 2025 |
| 卷积神经网络（LeNet） |
|
102 | 41293 | December 2, 2025 |
| 数值稳定性和模型初始化 |
|
17 | 9559 | December 2, 2025 |
| 参数管理 |
|
26 | 15589 | November 30, 2025 |
| 风格迁移 |
|
11 | 4973 | November 27, 2025 |
| 线性代数 |
|
88 | 45465 | July 17, 2025 |
| Language Models |
|
16 | 5135 | August 6, 2024 |
| Object-Oriented Design for Implementation |
|
15 | 5065 | November 25, 2025 |