| Topic | Replies | Views | Activity | |
|---|---|---|---|---|
| 含并行连结的网络（GoogLeNet） |
|
2 | 1567 | May 31, 2025 |
| Concise Implementation of Softmax Regression |
|
28 | 7819 | May 28, 2025 |
| 自定义层 |
|
39 | 11943 | May 25, 2025 |
| Designing Convolution Network Architectures |
|
5 | 1608 | May 18, 2025 |
| 深层循环神经网络 |
|
12 | 4317 | May 13, 2025 |
| Long Short Term Memory (LSTM) |
|
9 | 3394 | May 11, 2025 |
| 卷积神经网络（LeNet） |
|
101 | 39454 | May 5, 2025 |
| 线性回归 |
|
91 | 49839 | May 1, 2025 |
| 最佳梯子推荐：稳定翻墙机场节点，胜过传统VPN加速器 |
|
0 | 26606 | April 30, 2025 |
| Beam Search |
|
14 | 3436 | April 28, 2025 |
| Beam Search performs worse than Greedy Search? |
|
0 | 692 | April 28, 2025 |
| 权重衰减 |
|
57 | 18997 | April 27, 2025 |
| Object-Oriented Design for Implementation |
|
14 | 4456 | April 24, 2025 |
| 自注意力和位置编码 |
|
3 | 2157 | January 22, 2024 |
| 网络中的网络（NiN） |
|
3 | 1835 | April 23, 2025 |
| 为什么在d2l的torch包中没有下面的函数 |
|
1 | 540 | April 22, 2025 |
| 还有这个问题 |
|
0 | 360 | April 20, 2025 |
| 填充和步幅 |
|
25 | 8916 | April 15, 2025 |
| 为什么在 d2l 的 torch 包中没有 train_ch3 这个函数？ |
|
5 | 1782 | April 15, 2025 |
| 线性回归的从零开始实现 |
|
8 | 3244 | April 14, 2025 |
| 编码器-解码器结构 |
|
5 | 3150 | April 14, 2025 |
| 机器翻译与数据集 |
|
8 | 4922 | April 14, 2025 |
| 通过时间反向传播 |
|
21 | 8367 | April 14, 2025 |
| 多层感知机 |
|
4 | 1853 | February 20, 2025 |
| Softmax回归的简洁实现 |
|
1 | 1398 | February 20, 2025 |
| Softmax回归的从零实现 |
|
1 | 1650 | February 20, 2025 |
| 图像分类数据集 |
|
5 | 2067 | February 19, 2025 |
| 概率 |
|
3 | 2019 | February 19, 2025 |
| 自动求导 |
|
4 | 2860 | February 19, 2025 |
| Auto Differentiation |
|
39 | 22631 | February 19, 2025 |