中文版 pytorch
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|---|---|---|---|---|
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About the pytorch category
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1 | 188 | January 14, 2021 |
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多层感知机的从零实现
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20 | 1171 | January 19, 2022 |
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权重衰减
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11 | 653 | January 19, 2022 |
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Softmax回归的简洁实现
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47 | 1756 | January 19, 2022 |
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线性回归的从零实现
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50 | 3648 | January 19, 2022 |
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图像分类数据集
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19 | 1463 | January 19, 2022 |
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线性代数
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34 | 2957 | January 18, 2022 |
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线性回归
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21 | 2589 | January 18, 2022 |
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卷积神经网络（LeNet）
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19 | 1362 | January 18, 2022 |
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文本预处理
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6 | 436 | January 17, 2022 |
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安装
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45 | 6603 | January 17, 2022 |
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jupyter notebook中我似乎无法打出竖直单个引号
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2 | 17 | January 17, 2022 |
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实战 Kaggle 比赛：预测房价
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19 | 1403 | January 17, 2022 |
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Transformer
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4 | 166 | January 16, 2022 |
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残差网络（ResNet）
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23 | 1658 | January 16, 2022 |
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自动求导
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26 | 2477 | January 15, 2022 |
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Dropout
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18 | 1055 | January 15, 2022 |
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Softmax回归的从零实现
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53 | 2264 | January 15, 2022 |
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数据预处理
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39 | 3181 | January 14, 2022 |
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Bahdanau 注意力
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3 | 95 | January 14, 2022 |
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数值稳定性和模型初始化
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6 | 406 | January 14, 2022 |
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目标检测数据集
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11 | 356 | January 13, 2022 |
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注意力汇聚：Nadaraya-Watson 核回归
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5 | 114 | January 13, 2022 |
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自定义层
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9 | 670 | January 12, 2022 |
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为什么线性层输出结果为何不相等，是不是不需要纠结？
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1 | 43 | January 12, 2022 |
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序列到序列学习（seq2seq）
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14 | 515 | January 12, 2022 |
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多层感知机
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8 | 904 | January 11, 2022 |
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填充和步幅
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5 | 494 | January 9, 2022 |
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循环神经网络
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4 | 413 | January 7, 2022 |
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线性回归的简洁实现
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32 | 2263 | January 6, 2022 |