| Topic | Replies | Views | Activity | |
|---|---|---|---|---|
| 3.9安装d2l报错Failed building wheel for pandas |
|
1 | 364 | June 7, 2025 |
| Data Preprocessing |
|
6 | 2013 | June 7, 2025 |
| 词嵌入（word2vec） |
|
10 | 3372 | June 6, 2025 |
| 环境和分布偏移 |
|
18 | 7443 | June 4, 2025 |
| 序列到序列学习（seq2seq） |
|
83 | 20237 | June 3, 2025 |
| 从全连接层到卷积 |
|
40 | 16706 | June 3, 2025 |
| 使用中遇到的问题 |
|
0 | 104 | June 2, 2025 |
| 读写文件 |
|
17 | 11011 | June 2, 2025 |
| 含并行连结的网络（GoogLeNet） |
|
26 | 8315 | May 31, 2025 |
| 含并行连结的网络（GoogLeNet） |
|
2 | 1377 | May 31, 2025 |
| Concise Implementation of Softmax Regression |
|
28 | 6690 | May 28, 2025 |
| 自注意力和位置编码 |
|
19 | 6279 | May 27, 2025 |
| 注意力提示 |
|
5 | 7448 | May 26, 2025 |
| 多头注意力 |
|
56 | 19181 | May 26, 2025 |
| 自定义层 |
|
39 | 10975 | May 25, 2025 |
| Object Detection and Bounding Boxes |
|
2 | 1858 | May 23, 2025 |
| 使用块的网络（VGG） |
|
57 | 19743 | May 22, 2025 |
| 深度卷积神经网络（AlexNet） |
|
49 | 20932 | May 22, 2025 |
| Softmax回归的从零实现 |
|
152 | 48064 | May 18, 2025 |
| Designing Convolution Network Architectures |
|
5 | 1384 | May 18, 2025 |
| 数据预处理 |
|
4 | 1219 | May 17, 2025 |
| 引言 |
|
45 | 34666 | May 13, 2025 |
| 稠密连接网络（DenseNet） |
|
25 | 11131 | May 13, 2025 |
| 深层循环神经网络 |
|
12 | 3993 | May 13, 2025 |
| 文本预处理 |
|
46 | 9973 | May 12, 2025 |
| 批量规范化 |
|
46 | 12101 | May 12, 2025 |
| Linear Regression Implementation from Scratch |
|
68 | 17364 | May 12, 2025 |
| 安装 |
|
55 | 38810 | May 12, 2025 |
| Long Short Term Memory (LSTM) |
|
9 | 2785 | May 11, 2025 |
| Linear Algebra |
|
30 | 14507 | January 11, 2025 |