中文版 pytorch
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循环神经网络
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14 | 4894 | January 24, 2025 |
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语言模型和数据集
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32 | 10335 | January 19, 2025 |
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自然语言推断：微调BERT
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14 | 4161 | January 22, 2025 |
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锚框
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62 | 16394 | January 21, 2025 |
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自定义层
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38 | 10243 | January 20, 2025 |
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[反馈][笔误] 书中发现的问题
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1 | 562 | January 20, 2025 |
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多层感知机的从零实现
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86 | 27442 | January 20, 2025 |
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随机梯度下降
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5 | 1860 | January 19, 2025 |
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梯度下降
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7 | 2779 | January 19, 2025 |
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注意力汇聚：Nadaraya-Watson 核回归
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51 | 14735 | January 17, 2025 |
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图像分类数据集
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71 | 22014 | January 16, 2025 |
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自注意力和位置编码
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16 | 5571 | January 16, 2025 |
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多头注意力
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54 | 17452 | January 16, 2025 |
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稠密连接网络（DenseNet）
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24 | 10420 | January 15, 2025 |
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注意力评分函数
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28 | 7408 | January 14, 2025 |
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使用 GPU
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41 | 14902 | January 13, 2025 |
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层和块
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43 | 13758 | January 13, 2025 |
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权重衰减
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56 | 16031 | January 11, 2025 |
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多输入多输出通道
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34 | 11431 | January 11, 2025 |
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批量规范化
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45 | 11293 | January 10, 2025 |
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自然语言推断：使用注意力
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1 | 1097 | January 6, 2025 |
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安装D2L包失败
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6 | 2691 | January 5, 2025 |
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微分
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94 | 36908 | January 3, 2025 |
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线性回归的从零开始实现
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154 | 56508 | January 3, 2025 |
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线性回归
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90 | 42945 | January 3, 2025 |
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线性回归的简洁实现
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75 | 36414 | January 2, 2025 |
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自动求导
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83 | 40254 | January 2, 2025 |
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Bahdanau 注意力
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33 | 8385 | January 2, 2025 |
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含并行连结的网络（GoogLeNet）
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23 | 7723 | December 30, 2024 |
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凸性
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6 | 2239 | December 26, 2024 |