中文版 pytorch
| Topic | Replies | Views | Activity | |
|---|---|---|---|---|
|
About the pytorch category
|
|
0 | 1520 | January 14, 2021 |
|
实战 Kaggle 比赛:预测房价
|
|
127 | 51020 | March 29, 2026 |
|
权重衰减
|
|
59 | 20602 | March 28, 2026 |
|
模型选择、欠拟合和过拟合
|
|
89 | 27089 | March 27, 2026 |
|
前言
|
|
25 | 35478 | March 23, 2026 |
|
多头注意力
|
|
61 | 24088 | March 16, 2026 |
|
自注意力和位置编码
|
|
27 | 9015 | March 11, 2026 |
|
数据预处理
|
|
192 | 69695 | March 4, 2026 |
|
Bahdanau 注意力
|
|
38 | 11337 | March 3, 2026 |
|
线性代数
|
|
89 | 47659 | March 3, 2026 |
|
图像分类数据集
|
|
73 | 28277 | March 2, 2026 |
|
自动求导
|
|
92 | 51439 | February 19, 2026 |
|
概率
|
|
76 | 28151 | February 14, 2026 |
|
多层感知机的简洁实现
|
|
55 | 23446 | February 7, 2026 |
|
数据操作
|
|
70 | 66290 | February 6, 2026 |
|
线性回归
|
|
92 | 53909 | February 6, 2026 |
|
线性回归的从零开始实现
|
|
159 | 71535 | February 2, 2026 |
|
注意力汇聚:Nadaraya-Watson 核回归
|
|
54 | 19609 | January 28, 2026 |
|
汇聚层
|
|
29 | 10896 | January 24, 2026 |
|
关于可能的报错
|
|
0 | 289 | January 24, 2026 |
|
语言模型和数据集
|
|
39 | 15772 | January 20, 2026 |
|
序列模型
|
|
37 | 14237 | January 18, 2026 |
|
层和块
|
|
46 | 17636 | January 17, 2026 |
|
锚框
|
|
63 | 19722 | December 13, 2025 |
|
为什么在 d2l 的 torch 包中没有 train_ch3 这个函数?
|
|
6 | 2788 | December 8, 2025 |
|
Softmax回归的简洁实现
|
|
120 | 45206 | December 7, 2025 |
|
Softmax回归的从零实现
|
|
155 | 57717 | December 5, 2025 |
|
多层感知机
|
|
34 | 22436 | December 3, 2025 |
|
目标检测和边界框
|
|
14 | 7591 | December 3, 2025 |
|
卷积神经网络(LeNet)
|
|
102 | 42609 | December 2, 2025 |