中文版 pytorch
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|---|---|---|---|---|
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线性回归的从零开始实现
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155 | 59117 | April 26, 2025 |
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双向循环神经网络
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15 | 4502 | April 26, 2025 |
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图像增广
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18 | 7563 | April 20, 2025 |
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安装
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130 | 87493 | April 19, 2025 |
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填充和步幅
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25 | 8068 | 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 | 722 | April 15, 2025 |
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编码器-解码器结构
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5 | 2843 | April 14, 2025 |
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机器翻译与数据集
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8 | 4483 | April 14, 2025 |
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长短期记忆网络（LSTM）
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18 | 8691 | April 14, 2025 |
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门控循环单元（GRU）
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22 | 5032 | April 14, 2025 |
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来自Transformers的双向编码器表示（BERT）
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15 | 3879 | February 20, 2025 |
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网络中的网络（NiN）
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48 | 17112 | February 19, 2025 |
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前言
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19 | 26607 | February 11, 2025 |
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Softmax回归的简洁实现
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113 | 36346 | February 5, 2025 |
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序列模型
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33 | 11227 | February 5, 2025 |
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Transformer
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48 | 19708 | January 27, 2025 |
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实战 Kaggle 比赛：图像分类 (CIFAR-10)
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22 | 7255 | January 26, 2025 |
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延后初始化
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14 | 7513 | 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 | 12935 | January 24, 2025 |
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循环神经网络
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14 | 4977 | January 24, 2025 |
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自然语言推断：微调BERT
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14 | 4404 | January 22, 2025 |
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锚框
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62 | 16902 | January 21, 2025 |
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[反馈][笔误] 书中发现的问题
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1 | 713 | January 20, 2025 |
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随机梯度下降
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5 | 1920 | January 19, 2025 |
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梯度下降
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7 | 2862 | January 19, 2025 |
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注意力汇聚：Nadaraya-Watson 核回归
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51 | 15453 | January 17, 2025 |
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图像分类数据集
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71 | 23005 | January 16, 2025 |
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使用 GPU
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41 | 15588 | January 13, 2025 |
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层和块
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43 | 14347 | January 13, 2025 |
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多输入多输出通道
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34 | 11796 | January 11, 2025 |