中文版 pytorch
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About the pytorch category
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0 | 1405 | January 14, 2021 |
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Transformer
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52 | 23665 | November 17, 2025 |
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含并行连结的网络（GoogLeNet）
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28 | 9241 | November 13, 2025 |
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前言
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22 | 31901 | November 13, 2025 |
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数据预处理
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184 | 64254 | November 12, 2025 |
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自然语言推断：使用注意力
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3 | 1447 | November 12, 2025 |
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模型选择、欠拟合和过拟合
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85 | 24447 | November 12, 2025 |
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微分
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100 | 43401 | November 10, 2025 |
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实战 Kaggle 比赛：预测房价
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124 | 46904 | November 9, 2025 |
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数值稳定性和模型初始化
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16 | 9233 | November 9, 2025 |
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实战 Kaggle 比赛：狗的品种识别（ImageNet Dogs）
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15 | 5361 | October 30, 2025 |
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概率
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75 | 25868 | October 27, 2025 |
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用于预训练BERT的数据集
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19 | 6106 | October 24, 2025 |
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循环神经网络的从零开始实现
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52 | 15522 | October 23, 2025 |
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用于预训练词嵌入的数据集
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25 | 7467 | October 23, 2025 |
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Bahdanau 注意力
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37 | 10480 | October 21, 2025 |
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Dropout
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82 | 28066 | October 16, 2025 |
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语言模型和数据集
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37 | 13795 | October 12, 2025 |
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Softmax回归的从零实现
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154 | 53892 | October 11, 2025 |
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线性回归的从零开始实现
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158 | 67009 | October 10, 2025 |
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微调
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38 | 12415 | October 10, 2025 |
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自注意力和位置编码
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24 | 7682 | October 10, 2025 |
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图像增广
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20 | 8906 | October 8, 2025 |
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层和块
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45 | 16321 | September 30, 2025 |
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残差网络（ResNet）
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82 | 37114 | September 29, 2025 |
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多层感知机的从零实现
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91 | 31425 | September 29, 2025 |
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自动求导
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90 | 47861 | September 29, 2025 |
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批量规范化
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48 | 13465 | September 26, 2025 |
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梯度下降
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8 | 3377 | September 25, 2025 |
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序列到序列学习（seq2seq）
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85 | 22779 | September 22, 2025 |