| Topic | Replies | Views | Activity | |
|---|---|---|---|---|
| 注意力汇聚：Nadaraya-Watson 核回归 |
|
54 | 18732 | January 28, 2026 |
| 汇聚层 |
|
29 | 10372 | January 24, 2026 |
| 关于可能的报错 |
|
0 | 74 | January 24, 2026 |
| 图像分类数据集 |
|
72 | 27316 | January 22, 2026 |
| 语言模型和数据集 |
|
39 | 14890 | January 20, 2026 |
| 序列模型 |
|
37 | 13632 | January 18, 2026 |
| 数据预处理 |
|
10 | 7179 | January 18, 2026 |
| 层和块 |
|
46 | 16998 | January 17, 2026 |
| Gaussian Process Priors |
|
2 | 1396 | January 15, 2026 |
| Object-Oriented Design for Implementation |
|
2 | 2256 | January 13, 2026 |
| Softmax回归 |
|
79 | 53803 | January 11, 2026 |
| Colab安装d2l报错 |
|
0 | 175 | January 6, 2026 |
| 数据预处理 |
|
187 | 67159 | December 31, 2025 |
| 数据操作 |
|
69 | 63919 | December 31, 2025 |
| 自动求导 |
|
91 | 49717 | 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 | 2466 | December 28, 2025 |
| 微分 |
|
29 | 13132 | December 27, 2025 |
| Gaussian Process Inference |
|
3 | 1776 | December 23, 2025 |
| Multilayer Perceptrons |
|
14 | 7209 | December 16, 2025 |
| The Dataset for Pretraining BERT |
|
7 | 3061 | December 16, 2025 |
| 模型选择、欠拟合和过拟合 |
|
86 | 25690 | December 15, 2025 |
| 锚框 |
|
63 | 19106 | December 13, 2025 |
| 束搜索 |
|
21 | 9100 | December 12, 2025 |
| 为什么在 d2l 的 torch 包中没有 train_ch3 这个函数？ |
|
6 | 2483 | December 8, 2025 |
| Softmax回归的简洁实现 |
|
120 | 43290 | December 7, 2025 |
| Softmax回归的从零实现 |
|
155 | 55804 | December 5, 2025 |
| 从全连接层到卷积 |
|
42 | 19745 | December 4, 2025 |
| 多层感知机 |
|
34 | 21664 | December 3, 2025 |
| 目标检测和边界框 |
|
14 | 7330 | December 3, 2025 |
| 卷积神经网络（LeNet） |
|
102 | 41489 | December 2, 2025 |