中文版 pytorch
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自然语言推断:使用注意力
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3 | 1656 | November 12, 2025 |
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微分
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100 | 45089 | November 10, 2025 |
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实战 Kaggle 比赛:狗的品种识别(ImageNet Dogs)
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15 | 5687 | October 30, 2025 |
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概率
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75 | 27128 | October 27, 2025 |
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用于预训练BERT的数据集
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19 | 6509 | 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 | 16295 | October 23, 2025 |
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用于预训练词嵌入的数据集
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25 | 7877 | October 23, 2025 |
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Bahdanau 注意力
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37 | 10948 | October 21, 2025 |
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Dropout
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82 | 29407 | October 16, 2025 |
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微调
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38 | 12966 | October 10, 2025 |
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图像增广
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20 | 9410 | October 8, 2025 |
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残差网络(ResNet)
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82 | 38366 | September 29, 2025 |
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多层感知机的从零实现
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91 | 32808 | September 29, 2025 |
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批量规范化
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48 | 14013 | September 26, 2025 |
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梯度下降
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8 | 3572 | September 25, 2025 |
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序列到序列学习(seq2seq)
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85 | 23961 | September 22, 2025 |
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语义分割和数据集
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21 | 6557 | September 22, 2025 |
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线性回归的简洁实现
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78 | 44282 | September 21, 2025 |
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情感分析:使用递归神经网络
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12 | 3938 | September 15, 2025 |
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深度卷积神经网络(AlexNet)
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51 | 24292 | September 14, 2025 |
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门控循环单元(GRU)
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24 | 6397 | September 13, 2025 |
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安装
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132 | 108695 | September 12, 2025 |
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使用 GPU
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43 | 18720 | September 10, 2025 |
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稠密连接网络(DenseNet)
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26 | 13045 | September 8, 2025 |
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注意力评分函数
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37 | 10059 | August 29, 2025 |
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多层感知机的简洁实现
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54 | 22525 | August 27, 2025 |
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循环神经网络的简洁实现
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20 | 7728 | August 25, 2025 |
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d2l.train_ch3
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1 | 750 | August 20, 2025 |
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长短期记忆网络(LSTM)
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19 | 10724 | August 13, 2025 |
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延后初始化
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17 | 9042 | August 12, 2025 |