中文版 pytorch
| Topic | Replies | Views | Activity | |
|---|---|---|---|---|
|
数据操作
|
|
70 | 74181 | February 6, 2026 |
|
关于可能的报错
|
|
0 | 850 | January 24, 2026 |
|
层和块
|
|
46 | 20675 | January 17, 2026 |
|
为什么在 d2l 的 torch 包中没有 train_ch3 这个函数?
|
|
6 | 3497 | December 8, 2025 |
|
目标检测和边界框
|
|
14 | 8996 | December 3, 2025 |
|
数值稳定性和模型初始化
|
|
17 | 11263 | December 2, 2025 |
|
参数管理
|
|
26 | 18343 | November 30, 2025 |
|
含并行连结的网络(GoogLeNet)
|
|
28 | 11700 | November 13, 2025 |
|
自然语言推断:使用注意力
|
|
3 | 2278 | November 12, 2025 |
|
微分
|
|
100 | 52193 | November 10, 2025 |
|
实战 Kaggle 比赛:狗的品种识别(ImageNet Dogs)
|
|
15 | 6922 | October 30, 2025 |
|
图像增广
|
|
20 | 11428 | October 8, 2025 |
|
批量规范化
|
|
48 | 17244 | September 26, 2025 |
|
情感分析:使用递归神经网络
|
|
12 | 5213 | September 15, 2025 |
|
深度卷积神经网络(AlexNet)
|
|
51 | 28574 | September 14, 2025 |
|
使用 GPU
|
|
43 | 21979 | September 10, 2025 |
|
循环神经网络的简洁实现
|
|
20 | 9424 | August 25, 2025 |
|
d2l.train_ch3
|
|
1 | 1540 | August 20, 2025 |
|
延后初始化
|
|
17 | 11065 | August 12, 2025 |
|
chapter_linear-networks 中多个章节缺少,相比较与英文源文件
|
|
0 | 997 | August 4, 2025 |
|
网络中的网络(NiN)
|
|
49 | 23324 | August 3, 2025 |
|
使用块的网络(VGG)
|
|
58 | 26791 | July 28, 2025 |
|
AdaGrad算法
|
|
4 | 2274 | July 19, 2025 |
|
文本预处理
|
|
47 | 15010 | July 5, 2025 |
|
多输入多输出通道
|
|
37 | 17071 | June 28, 2025 |
|
自然语言推断:微调BERT
|
|
15 | 6797 | June 23, 2025 |
|
d2l.EncoderBlock
|
|
1 | 1024 | June 13, 2025 |
|
读写文件
|
|
17 | 14312 | June 2, 2025 |
|
深层循环神经网络
|
|
12 | 5697 | May 13, 2025 |
|
填充和步幅
|
|
25 | 11769 | April 15, 2025 |