【One Shot】《Siamese Neural Networks for One-shot Image Recognition》
ICML-2015html 文章目錄 1 Motivation 2 Innovation 3 Advantages 4 Model 4 Learning 4.1 loss function 4.2 Optimization 4.3 Weight initialization 4.4 Learning schedule 4.5 Hyperparameter optimization 4.6 Affi
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相關文章
- 1. 【One Shot】《Siamese Neural Networks for One-shot Image Recognition》
- 2. 《Siamese Neural Networks for One-shot Image Recognition》筆記
- 3. 論文閱讀筆記《Siamese Neural Networks for One-shot Image Recognition》
- 4. 深度學習論文翻譯解析（五）：Siamese Neural Networks for One-shot Image Recognition
- 5. 論文閱讀筆記《Memory Matching Networks for One-Shot Image Recognition》
- 6. 【One Shot】《Matching Networks for One Shot Learning》
- 7. 讀Exploring Randomly Wired Neural Networks for Image Recognition
- 8. RandWireNN: Exploring Randomly Wired Neural Networks for Image Recognition
- 9. CS231n Convolutional Neural Networks for Visual Recognition
- 10. Matching Networks for One Shot Learning