中文版 pytorch
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About the pytorch category
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0 | 942 | January 14, 2021 |
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卷积神经网络（LeNet）
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93 | 28423 | October 22, 2024 |
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单发多框检测（SSD）
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19 | 3972 | October 21, 2024 |
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图像分类数据集
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61 | 18848 | October 21, 2024 |
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实战 Kaggle 比赛：预测房价
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91 | 29868 | October 19, 2024 |
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Bahdanau 注意力
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31 | 6628 | October 19, 2024 |
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多层感知机的从零实现
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82 | 22727 | October 18, 2024 |
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权重衰减
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54 | 13179 | October 17, 2024 |
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图像增广
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16 | 6001 | October 17, 2024 |
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多GPU训练
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10 | 2656 | October 17, 2024 |
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多层感知机的简洁实现
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36 | 14638 | October 15, 2024 |
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Softmax回归的简洁实现
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106 | 28902 | October 14, 2024 |
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线性回归的从零开始实现
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150 | 48672 | October 13, 2024 |
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自定义层
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35 | 8937 | October 13, 2024 |
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模型选择、欠拟合和过拟合
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71 | 16970 | October 11, 2024 |
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全卷积网络（FCN）
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14 | 4023 | October 11, 2024 |
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线性回归
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84 | 36765 | October 10, 2024 |
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微分
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89 | 31935 | October 8, 2024 |
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数据预处理
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167 | 44621 | October 6, 2024 |
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Softmax回归的从零实现
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142 | 37440 | October 6, 2024 |
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预训练BERT
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17 | 3193 | October 5, 2024 |
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多头注意力
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49 | 14152 | October 5, 2024 |
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循环神经网络的从零开始实现
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47 | 10370 | October 2, 2024 |
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[反馈][笔误] 书中发现的问题
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0 | 158 | September 29, 2024 |
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微调
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35 | 9114 | September 25, 2024 |
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线性代数
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83 | 32564 | September 23, 2024 |
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数值稳定性和模型初始化
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12 | 6577 | September 23, 2024 |
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风格迁移
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10 | 3277 | September 22, 2024 |
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自动求导
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78 | 34985 | September 21, 2024 |
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Transformer
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45 | 15319 | September 17, 2024 |