Learning representations by back-propagating errors【译文】

时间 2021-01-02

标签神经网络深度学习繁體版

原文原文链接

Learning representations by back-propagating errors 通过反向传播错误学习表示反向传播算法最初是在1970年代引入的，但是直到1986年David Rumelhart，Geoffrey Hinton和Ronald Williams发表了著名论文【Learning representations by back-propagating errors

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1. Learning representations by back-propagating errors
2. some understandings about 《Learning representations by back-propagating errors》
3. 【笔记】Learning representations by back-propagating errors
4. DIM（Learning deep representations by mutual information estimation and maximization）
5. Person Re-Identification by Deep Learning Multi-Scale Representations 论文笔记
6. 【论文笔记——DIM】Learning Deep Representations By Mutual Information Estimation and Maximization
7. 【论文阅读】Author2Vec: Learning Author Representations by Combining Content and Link Information
8. ECCV2016【论文笔记】Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
9. 【论文翻译】Learning Generalizable and Identity-Discriminative Representations for Face Anti-Spoofing
10. Deep Learning, NLP, and Representations翻译学习
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1. Learning representations by back-propagating errors
2. some understandings about 《Learning representations by back-propagating errors》
3. 【笔记】Learning representations by back-propagating errors
4. DIM（Learning deep representations by mutual information estimation and maximization）
5. Person Re-Identification by Deep Learning Multi-Scale Representations 论文笔记
6. 【论文笔记——DIM】Learning Deep Representations By Mutual Information Estimation and Maximization
7. 【论文阅读】Author2Vec: Learning Author Representations by Combining Content and Link Information
8. ECCV2016【论文笔记】Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
9. 【论文翻译】Learning Generalizable and Identity-Discriminative Representations for Face Anti-Spoofing
10. Deep Learning, NLP, and Representations翻译学习

>>更多相关文章<<