Paper Reading:Learning Transferable Architectures for Scalable Image Recognition
Learning Transferable Architectures for Scalable Image Recognition Motivation NAS直接搜全部結構方法太慢，設計一個搜索空間較小的方法。即類似於LSTM中的子結構，重複堆疊這些子結構，從而得到較深的網絡。 Architecture 對於兩種不同的數據集，大致的設計了兩種不同的網絡結構， 確定好整體結構後，按照以下步驟 S
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相關文章
- 1. Learning Transferable Architectures for Scalable image recognition
- 2. Learning Transferable Architectures for Scalable Image Recognition
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- 4. 自學網絡結構（二）：Learning Transferable Architectures for Scalable Image Recognition
- 5. NASNet:Learning Transferable Architectures for Scalable Image Recognition 學習可伸縮的圖像識別的可轉移架構
- 6. Deep Residual Learning for Image Recognition
- 7. 《Neural Architectures for Named Entity Recognition》
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- 9. ResNet--Deep Residual Learning for Image Recognition
- 10. ResNet：Deep Residual for Image Recognition