中文版 pytorch
| Topic | Replies | Views | Activity | |
|---|---|---|---|---|
|
权重衰减
|
|
59 | 21846 | March 28, 2026 |
|
模型选择、欠拟合和过拟合
|
|
89 | 28857 | March 27, 2026 |
|
多头注意力
|
|
61 | 25602 | March 16, 2026 |
|
数据预处理
|
|
192 | 73440 | March 4, 2026 |
|
Bahdanau 注意力
|
|
38 | 12074 | March 3, 2026 |
|
图像分类数据集
|
|
73 | 29896 | March 2, 2026 |
|
自动求导
|
|
92 | 53583 | February 19, 2026 |
|
概率
|
|
76 | 29648 | February 14, 2026 |
|
多层感知机的简洁实现
|
|
55 | 24606 | February 7, 2026 |
|
数据操作
|
|
70 | 69305 | February 6, 2026 |
|
线性回归的从零开始实现
|
|
159 | 74899 | February 2, 2026 |
|
注意力汇聚：Nadaraya-Watson 核回归
|
|
54 | 20857 | January 28, 2026 |
|
汇聚层
|
|
29 | 11546 | January 24, 2026 |
|
关于可能的报错
|
|
0 | 510 | January 24, 2026 |
|
语言模型和数据集
|
|
39 | 17024 | January 20, 2026 |
|
序列模型
|
|
37 | 15061 | January 18, 2026 |
|
层和块
|
|
46 | 18491 | January 17, 2026 |
|
为什么在 d2l 的 torch 包中没有 train_ch3 这个函数？
|
|
6 | 3036 | December 8, 2025 |
|
多层感知机
|
|
34 | 23724 | December 3, 2025 |
|
目标检测和边界框
|
|
14 | 8094 | December 3, 2025 |
|
数值稳定性和模型初始化
|
|
17 | 10360 | December 2, 2025 |
|
参数管理
|
|
26 | 16869 | November 30, 2025 |
|
风格迁移
|
|
11 | 5526 | November 27, 2025 |
|
含并行连结的网络（GoogLeNet）
|
|
28 | 10539 | November 13, 2025 |
|
自然语言推断：使用注意力
|
|
3 | 1942 | November 12, 2025 |
|
微分
|
|
100 | 48123 | November 10, 2025 |
|
实战 Kaggle 比赛：狗的品种识别（ImageNet Dogs）
|
|
15 | 6186 | October 30, 2025 |
|
循环神经网络的从零开始实现
|
|
52 | 18138 | October 23, 2025 |
|
图像增广
|
|
20 | 10281 | October 8, 2025 |
|
批量规范化
|
|
48 | 15379 | September 26, 2025 |