中文版 pytorch
| Topic | Replies | Views | Activity | |
|---|---|---|---|---|
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About the pytorch category
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0 | 1237 | January 14, 2021 |
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自注意力和位置编码
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21 | 6395 | July 11, 2025 |
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多头注意力
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61 | 19583 | July 11, 2025 |
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Bahdanau 注意力
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36 | 9178 | July 11, 2025 |
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Softmax回归的简洁实现
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114 | 37443 | July 11, 2025 |
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序列模型
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34 | 11592 | July 11, 2025 |
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Transformer
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49 | 20637 | July 9, 2025 |
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批量规范化
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47 | 12233 | July 8, 2025 |
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序列到序列学习（seq2seq）
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84 | 20514 | July 5, 2025 |
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文本预处理
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47 | 10110 | July 5, 2025 |
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情感分析：使用递归神经网络
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11 | 3190 | July 4, 2025 |
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实战 Kaggle 比赛：预测房价
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106 | 40471 | July 3, 2025 |
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汇聚层
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27 | 9009 | July 2, 2025 |
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双向循环神经网络
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17 | 4715 | July 2, 2025 |
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注意力评分函数
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34 | 8335 | June 30, 2025 |
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多输入多输出通道
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37 | 12239 | June 28, 2025 |
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延后初始化
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15 | 7778 | June 26, 2025 |
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数据操作
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67 | 55496 | June 26, 2025 |
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层和块
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44 | 14822 | June 26, 2025 |
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多层感知机的简洁实现
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48 | 19525 | June 25, 2025 |
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循环神经网络的从零开始实现
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49 | 13378 | June 24, 2025 |
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线性回归的从零开始实现
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156 | 61246 | June 24, 2025 |
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自动求导
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86 | 43493 | June 24, 2025 |
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线性代数
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87 | 40022 | June 24, 2025 |
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语言模型和数据集
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34 | 11516 | June 23, 2025 |
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自然语言推断：微调BERT
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15 | 4621 | June 23, 2025 |
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注意力汇聚：Nadaraya-Watson 核回归
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53 | 16118 | June 22, 2025 |
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d2l.EncoderBlock
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1 | 118 | June 13, 2025 |
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来自Transformers的双向编码器表示（BERT）
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16 | 4051 | June 13, 2025 |
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读写文件
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17 | 11109 | June 2, 2025 |