中文版 pytorch
| Topic | Replies | Views | Activity | |
|---|---|---|---|---|
|
图像增广
|
|
20 | 9111 | October 8, 2025 |
|
层和块
|
|
45 | 16564 | September 30, 2025 |
|
残差网络(ResNet)
|
|
82 | 37561 | September 29, 2025 |
|
多层感知机的从零实现
|
|
91 | 31796 | September 29, 2025 |
|
自动求导
|
|
90 | 48458 | September 29, 2025 |
|
批量规范化
|
|
48 | 13648 | September 26, 2025 |
|
梯度下降
|
|
8 | 3444 | September 25, 2025 |
|
序列到序列学习(seq2seq)
|
|
85 | 23129 | September 22, 2025 |
|
语义分割和数据集
|
|
21 | 6292 | September 22, 2025 |
|
线性回归的简洁实现
|
|
78 | 43139 | September 21, 2025 |
|
数据操作
|
|
68 | 62349 | September 16, 2025 |
|
情感分析:使用递归神经网络
|
|
12 | 3780 | September 15, 2025 |
|
深度卷积神经网络(AlexNet)
|
|
51 | 23662 | September 14, 2025 |
|
门控循环单元(GRU)
|
|
24 | 6162 | September 13, 2025 |
|
安装
|
|
132 | 104869 | September 12, 2025 |
|
使用 GPU
|
|
43 | 18213 | September 10, 2025 |
|
稠密连接网络(DenseNet)
|
|
26 | 12635 | September 8, 2025 |
|
注意力评分函数
|
|
37 | 9709 | August 29, 2025 |
|
多层感知机的简洁实现
|
|
54 | 21849 | August 27, 2025 |
|
循环神经网络的简洁实现
|
|
20 | 7488 | August 25, 2025 |
|
d2l.train_ch3
|
|
1 | 569 | August 20, 2025 |
|
长短期记忆网络(LSTM)
|
|
19 | 10308 | August 13, 2025 |
|
延后初始化
|
|
17 | 8738 | August 12, 2025 |
|
13.7 SSD梯度爆炸问题
|
|
0 | 345 | August 11, 2025 |
|
序列模型
|
|
36 | 13180 | August 6, 2025 |
|
chapter_linear-networks 中多个章节缺少,相比较与英文源文件
|
|
0 | 479 | August 4, 2025 |
|
网络中的网络(NiN)
|
|
49 | 19660 | August 3, 2025 |
|
使用块的网络(VGG)
|
|
58 | 22236 | July 28, 2025 |
|
注意力提示
|
|
6 | 8352 | July 20, 2025 |
|
AdaGrad算法
|
|
4 | 1482 | July 19, 2025 |