中文版 pytorch
| Topic | Replies | Views | Activity | |
|---|---|---|---|---|
|
About the pytorch category
|
|
0 | 1036 | January 14, 2021 |
|
锚框
|
|
62 | 15549 | January 21, 2025 |
|
为什么在 d2l 的 torch 包中没有 train_ch3 这个函数？
|
|
2 | 108 | January 20, 2025 |
|
自定义层
|
|
38 | 9816 | January 20, 2025 |
|
[反馈][笔误] 书中发现的问题
|
|
1 | 414 | January 20, 2025 |
|
多层感知机的从零实现
|
|
86 | 26094 | January 20, 2025 |
|
随机梯度下降
|
|
5 | 1784 | January 19, 2025 |
|
梯度下降
|
|
7 | 2642 | January 19, 2025 |
|
语言模型和数据集
|
|
32 | 9803 | January 19, 2025 |
|
文本预处理
|
|
42 | 8695 | January 19, 2025 |
|
Softmax回归的从零实现
|
|
150 | 42875 | January 18, 2025 |
|
序列模型
|
|
32 | 9920 | January 17, 2025 |
|
注意力汇聚：Nadaraya-Watson 核回归
|
|
51 | 13951 | January 17, 2025 |
|
卷积神经网络（LeNet）
|
|
97 | 32551 | January 16, 2025 |
|
图像分类数据集
|
|
71 | 21155 | January 16, 2025 |
|
自注意力和位置编码
|
|
16 | 5238 | January 16, 2025 |
|
多头注意力
|
|
54 | 16454 | January 16, 2025 |
|
稠密连接网络（DenseNet）
|
|
24 | 9930 | January 15, 2025 |
|
注意力评分函数
|
|
28 | 6959 | January 14, 2025 |
|
使用 GPU
|
|
41 | 14256 | January 13, 2025 |
|
延后初始化
|
|
13 | 6787 | January 13, 2025 |
|
层和块
|
|
43 | 13220 | January 13, 2025 |
|
权重衰减
|
|
56 | 15280 | January 11, 2025 |
|
Softmax回归的简洁实现
|
|
111 | 33393 | January 11, 2025 |
|
残差网络（ResNet）
|
|
74 | 30513 | January 11, 2025 |
|
多输入多输出通道
|
|
34 | 10993 | January 11, 2025 |
|
批量规范化
|
|
45 | 10692 | January 10, 2025 |
|
多层感知机的简洁实现
|
|
40 | 17060 | January 9, 2025 |
|
自然语言推断：使用注意力
|
|
1 | 1057 | January 6, 2025 |
|
安装D2L包失败
|
|
6 | 2505 | January 5, 2025 |