中文版 pytorch
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About the pytorch category
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0 | 1492 | January 14, 2021 |
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自注意力和位置编码
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26 | 8419 | February 20, 2026 |
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自动求导
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92 | 50374 | February 19, 2026 |
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概率
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76 | 27485 | February 14, 2026 |
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数据预处理
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188 | 68024 | February 12, 2026 |
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前言
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24 | 34356 | February 10, 2026 |
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多层感知机的简洁实现
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55 | 22861 | February 7, 2026 |
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数据操作
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70 | 64757 | February 6, 2026 |
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线性回归
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92 | 52566 | February 6, 2026 |
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线性回归的从零开始实现
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159 | 69939 | February 2, 2026 |
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注意力汇聚：Nadaraya-Watson 核回归
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54 | 19036 | January 28, 2026 |
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汇聚层
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29 | 10559 | January 24, 2026 |
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关于可能的报错
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0 | 174 | January 24, 2026 |
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图像分类数据集
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72 | 27646 | January 22, 2026 |
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语言模型和数据集
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39 | 15221 | January 20, 2026 |
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序列模型
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37 | 13827 | January 18, 2026 |
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层和块
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46 | 17217 | January 17, 2026 |
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模型选择、欠拟合和过拟合
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86 | 26080 | December 15, 2025 |
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锚框
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63 | 19319 | 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 | 2628 | December 8, 2025 |
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Softmax回归的简洁实现
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120 | 43864 | December 7, 2025 |
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Softmax回归的从零实现
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155 | 56468 | December 5, 2025 |
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多层感知机
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34 | 21919 | December 3, 2025 |
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目标检测和边界框
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14 | 7434 | December 3, 2025 |
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卷积神经网络（LeNet）
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102 | 41870 | December 2, 2025 |
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数值稳定性和模型初始化
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17 | 9736 | December 2, 2025 |
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参数管理
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26 | 15839 | November 30, 2025 |
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风格迁移
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11 | 5118 | November 27, 2025 |
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线性代数
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88 | 46299 | July 17, 2025 |
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实战 Kaggle 比赛：预测房价
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125 | 49808 | November 18, 2025 |