中文版 pytorch
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|---|---|---|---|---|
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多层感知机
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34 | 22743 | December 3, 2025 |
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目标检测和边界框
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14 | 7697 | December 3, 2025 |
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卷积神经网络(LeNet)
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102 | 43044 | December 2, 2025 |
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数值稳定性和模型初始化
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17 | 9975 | December 2, 2025 |
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参数管理
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26 | 16282 | November 30, 2025 |
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风格迁移
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11 | 5312 | November 27, 2025 |
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含并行连结的网络(GoogLeNet)
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28 | 10162 | November 13, 2025 |
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自然语言推断:使用注意力
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3 | 1771 | November 12, 2025 |
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微分
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100 | 46658 | 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 | 5939 | October 30, 2025 |
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用于预训练BERT的数据集
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19 | 6780 | 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 | 17163 | October 23, 2025 |
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用于预训练词嵌入的数据集
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25 | 8268 | October 23, 2025 |
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Dropout
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82 | 30973 | October 16, 2025 |
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微调
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38 | 13539 | October 10, 2025 |
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图像增广
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20 | 9858 | October 8, 2025 |
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多层感知机的从零实现
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91 | 34373 | September 29, 2025 |
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批量规范化
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48 | 14763 | September 26, 2025 |
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梯度下降
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8 | 3764 | September 25, 2025 |
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序列到序列学习(seq2seq)
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85 | 25061 | September 22, 2025 |
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语义分割和数据集
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21 | 6891 | September 22, 2025 |
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线性回归的简洁实现
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78 | 46180 | September 21, 2025 |
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情感分析:使用递归神经网络
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12 | 4149 | September 15, 2025 |
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深度卷积神经网络(AlexNet)
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51 | 25155 | September 14, 2025 |
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门控循环单元(GRU)
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24 | 6823 | September 13, 2025 |
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安装
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132 | 113474 | September 12, 2025 |
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使用 GPU
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43 | 19308 | September 10, 2025 |
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稠密连接网络(DenseNet)
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26 | 13599 | September 8, 2025 |
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注意力评分函数
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37 | 10645 | August 29, 2025 |
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循环神经网络的简洁实现
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20 | 8119 | August 25, 2025 |