中文版 pytorch
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填充和步幅
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25 | 8030 | April 15, 2025 |
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为什么在 d2l 的 torch 包中没有 train_ch3 这个函数？
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5 | 674 | April 15, 2025 |
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编码器-解码器结构
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5 | 2823 | April 14, 2025 |
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机器翻译与数据集
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8 | 4465 | April 14, 2025 |
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长短期记忆网络（LSTM）
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18 | 8630 | April 14, 2025 |
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门控循环单元（GRU）
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22 | 4983 | April 14, 2025 |
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来自Transformers的双向编码器表示（BERT）
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15 | 3846 | February 20, 2025 |
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注意力提示
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4 | 7199 | February 19, 2025 |
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网络中的网络（NiN）
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48 | 17045 | February 19, 2025 |
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前言
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19 | 26352 | February 11, 2025 |
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Softmax回归的简洁实现
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113 | 36132 | February 5, 2025 |
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序列模型
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33 | 11150 | February 5, 2025 |
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Transformer
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48 | 19586 | January 27, 2025 |
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实战 Kaggle 比赛：图像分类 (CIFAR-10)
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22 | 7200 | January 26, 2025 |
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延后初始化
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14 | 7453 | January 25, 2025 |
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循环神经网络的从零开始实现
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48 | 12870 | January 24, 2025 |
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循环神经网络
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14 | 4964 | January 24, 2025 |
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自然语言推断：微调BERT
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14 | 4358 | January 22, 2025 |
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锚框
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62 | 16811 | January 21, 2025 |
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自定义层
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38 | 10617 | January 20, 2025 |
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[反馈][笔误] 书中发现的问题
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1 | 661 | January 20, 2025 |
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随机梯度下降
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5 | 1912 | January 19, 2025 |
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梯度下降
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7 | 2840 | January 19, 2025 |
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注意力汇聚：Nadaraya-Watson 核回归
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51 | 15347 | January 17, 2025 |
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图像分类数据集
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71 | 22832 | January 16, 2025 |
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多头注意力
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54 | 18348 | January 16, 2025 |
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注意力评分函数
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28 | 7774 | January 14, 2025 |
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使用 GPU
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41 | 15412 | January 13, 2025 |
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层和块
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43 | 14194 | January 13, 2025 |
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多输入多输出通道
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34 | 11744 | January 11, 2025 |