中文版 pytorch
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About the pytorch category
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0 | 1532 | January 14, 2021 |
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线性代数
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90 | 48360 | April 5, 2026 |
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预训练BERT
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22 | 5559 | April 2, 2026 |
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实战 Kaggle 比赛：预测房价
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127 | 51813 | March 29, 2026 |
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权重衰减
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59 | 20794 | March 28, 2026 |
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模型选择、欠拟合和过拟合
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89 | 27469 | March 27, 2026 |
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前言
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25 | 35904 | March 23, 2026 |
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多头注意力
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61 | 24366 | March 16, 2026 |
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自注意力和位置编码
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27 | 9240 | March 11, 2026 |
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数据预处理
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192 | 70404 | March 4, 2026 |
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Bahdanau 注意力
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38 | 11463 | March 3, 2026 |
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图像分类数据集
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73 | 28569 | March 2, 2026 |
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自动求导
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92 | 51836 | February 19, 2026 |
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概率
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76 | 28397 | February 14, 2026 |
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多层感知机的简洁实现
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55 | 23677 | February 7, 2026 |
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数据操作
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70 | 67061 | February 6, 2026 |
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线性回归
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92 | 54525 | February 6, 2026 |
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线性回归的从零开始实现
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159 | 72149 | February 2, 2026 |
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注意力汇聚：Nadaraya-Watson 核回归
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54 | 19868 | January 28, 2026 |
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汇聚层
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29 | 11067 | January 24, 2026 |
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关于可能的报错
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0 | 339 | January 24, 2026 |
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语言模型和数据集
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39 | 16029 | January 20, 2026 |
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序列模型
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37 | 14433 | January 18, 2026 |
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层和块
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46 | 17806 | January 17, 2026 |
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锚框
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63 | 19893 | December 13, 2025 |
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为什么在 d2l 的 torch 包中没有 train_ch3 这个函数？
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6 | 2844 | December 8, 2025 |
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Softmax回归的简洁实现
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120 | 45787 | December 7, 2025 |
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Softmax回归的从零实现
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155 | 58156 | December 5, 2025 |
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多层感知机
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34 | 22694 | December 3, 2025 |
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目标检测和边界框
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14 | 7687 | December 3, 2025 |