中文版 pytorch
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About the pytorch category
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0 | 1252 | January 14, 2021 |
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多层感知机的简洁实现
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52 | 19894 | August 4, 2025 |
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chapter_linear-networks 中多个章节缺少，相比较与英文源文件
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0 | 18 | August 4, 2025 |
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网络中的网络（NiN）
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49 | 18149 | August 3, 2025 |
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Softmax回归的简洁实现
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116 | 38429 | July 31, 2025 |
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概率
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73 | 23853 | July 30, 2025 |
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多层感知机的从零实现
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89 | 29460 | July 30, 2025 |
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使用块的网络（VGG）
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58 | 20450 | July 28, 2025 |
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延后初始化
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16 | 7939 | July 26, 2025 |
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实战 Kaggle 比赛：狗的品种识别（ImageNet Dogs）
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14 | 4896 | July 23, 2025 |
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实战 Kaggle 比赛：预测房价
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108 | 41823 | July 23, 2025 |
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序列模型
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35 | 11899 | July 21, 2025 |
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注意力提示
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6 | 7711 | July 20, 2025 |
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注意力评分函数
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36 | 8560 | July 20, 2025 |
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深度卷积神经网络（AlexNet）
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50 | 21641 | July 20, 2025 |
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AdaGrad算法
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4 | 1297 | July 19, 2025 |
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线性代数
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88 | 41019 | July 17, 2025 |
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线性回归的从零开始实现
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157 | 62502 | July 16, 2025 |
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自注意力和位置编码
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21 | 6629 | July 15, 2025 |
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自动求导
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87 | 44493 | July 13, 2025 |
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数值稳定性和模型初始化
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13 | 8542 | July 13, 2025 |
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多头注意力
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60 | 20199 | July 11, 2025 |
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Bahdanau 注意力
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36 | 9426 | July 11, 2025 |
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Transformer
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49 | 21220 | July 9, 2025 |
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批量规范化
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47 | 12435 | July 8, 2025 |
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序列到序列学习（seq2seq）
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84 | 20956 | July 5, 2025 |
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文本预处理
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47 | 10276 | July 5, 2025 |
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情感分析：使用递归神经网络
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11 | 3277 | July 4, 2025 |
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汇聚层
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27 | 9125 | July 2, 2025 |
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双向循环神经网络
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17 | 4845 | July 2, 2025 |