中文版 pytorch
| Topic | Replies | Views | Activity | |
|---|---|---|---|---|
|
自注意力和位置编码
|
|
21 | 6820 | July 15, 2025 |
|
多头注意力
|
|
60 | 20784 | July 11, 2025 |
|
Bahdanau 注意力
|
|
36 | 9711 | July 11, 2025 |
|
Transformer
|
|
49 | 21786 | July 9, 2025 |
|
批量规范化
|
|
47 | 12643 | July 8, 2025 |
|
序列到序列学习（seq2seq）
|
|
84 | 21433 | July 5, 2025 |
|
文本预处理
|
|
47 | 10432 | July 5, 2025 |
|
情感分析：使用递归神经网络
|
|
11 | 3343 | July 4, 2025 |
|
汇聚层
|
|
27 | 9281 | July 2, 2025 |
|
双向循环神经网络
|
|
17 | 4974 | July 2, 2025 |
|
多输入多输出通道
|
|
37 | 12740 | June 28, 2025 |
|
数据操作
|
|
67 | 57866 | June 26, 2025 |
|
层和块
|
|
44 | 15289 | June 26, 2025 |
|
循环神经网络的从零开始实现
|
|
49 | 13873 | June 24, 2025 |
|
自然语言推断：微调BERT
|
|
15 | 4967 | June 23, 2025 |
|
注意力汇聚：Nadaraya-Watson 核回归
|
|
53 | 16925 | June 22, 2025 |
|
d2l.EncoderBlock
|
|
1 | 240 | June 13, 2025 |
|
来自Transformers的双向编码器表示（BERT）
|
|
16 | 4229 | June 13, 2025 |
|
读写文件
|
|
17 | 11511 | June 2, 2025 |
|
自定义层
|
|
39 | 11442 | May 25, 2025 |
|
稠密连接网络（DenseNet）
|
|
25 | 11674 | May 13, 2025 |
|
深层循环神经网络
|
|
12 | 4161 | May 13, 2025 |
|
残差网络（ResNet）
|
|
80 | 35279 | May 10, 2025 |
|
卷积神经网络（LeNet）
|
|
101 | 37924 | May 5, 2025 |
|
模型选择、欠拟合和过拟合
|
|
81 | 22799 | May 5, 2025 |
|
Dropout
|
|
80 | 26187 | May 5, 2025 |
|
线性回归的简洁实现
|
|
76 | 40153 | May 2, 2025 |
|
线性回归
|
|
91 | 47987 | May 1, 2025 |
|
微分
|
|
96 | 41013 | April 29, 2025 |
|
数据预处理
|
|
182 | 60296 | April 29, 2025 |