中文版 pytorch
| Topic | Replies | Views | Activity | |
|---|---|---|---|---|
|
多层感知机的简洁实现
|
|
55 | 24098 | February 7, 2026 |
|
数据操作
|
|
70 | 68171 | February 6, 2026 |
|
线性回归
|
|
92 | 55464 | February 6, 2026 |
|
线性回归的从零开始实现
|
|
159 | 73383 | February 2, 2026 |
|
注意力汇聚:Nadaraya-Watson 核回归
|
|
54 | 20317 | January 28, 2026 |
|
汇聚层
|
|
29 | 11307 | January 24, 2026 |
|
关于可能的报错
|
|
0 | 411 | January 24, 2026 |
|
语言模型和数据集
|
|
39 | 16487 | January 20, 2026 |
|
序列模型
|
|
37 | 14713 | January 18, 2026 |
|
层和块
|
|
46 | 18118 | January 17, 2026 |
|
为什么在 d2l 的 torch 包中没有 train_ch3 这个函数?
|
|
6 | 2919 | December 8, 2025 |
|
Softmax回归的简洁实现
|
|
120 | 46591 | December 7, 2025 |
|
Softmax回归的从零实现
|
|
155 | 58979 | December 5, 2025 |
|
多层感知机
|
|
34 | 23153 | December 3, 2025 |
|
目标检测和边界框
|
|
14 | 7850 | December 3, 2025 |
|
数值稳定性和模型初始化
|
|
17 | 10094 | December 2, 2025 |
|
参数管理
|
|
26 | 16481 | November 30, 2025 |
|
风格迁移
|
|
11 | 5389 | November 27, 2025 |
|
含并行连结的网络(GoogLeNet)
|
|
28 | 10303 | November 13, 2025 |
|
自然语言推断:使用注意力
|
|
3 | 1824 | November 12, 2025 |
|
微分
|
|
100 | 47243 | November 10, 2025 |
|
实战 Kaggle 比赛:狗的品种识别(ImageNet Dogs)
|
|
15 | 6047 | October 30, 2025 |
|
循环神经网络的从零开始实现
|
|
52 | 17555 | October 23, 2025 |
|
Dropout
|
|
82 | 31412 | October 16, 2025 |
|
图像增广
|
|
20 | 10031 | October 8, 2025 |
|
多层感知机的从零实现
|
|
91 | 34855 | September 29, 2025 |
|
批量规范化
|
|
48 | 14969 | September 26, 2025 |
|
序列到序列学习(seq2seq)
|
|
85 | 25386 | September 22, 2025 |
|
语义分割和数据集
|
|
21 | 7024 | September 22, 2025 |
|
线性回归的简洁实现
|
|
78 | 46759 | September 21, 2025 |