Deep Transfer Learning

Deep Transfer Learning

We study transfer learning, which aims to adapt previously gained knowledge to small scale problems. Transfer from very deep architectures may cause overfitting. We investigate CNN pruning for transfer.




Project Poster: 

Project Members: 

Furkan Kadıoğlu

Project Advisor: 

İnci Meliha Baytaş

Project Status: 

Project Year: 

  • Spring

Contact us

Department of Computer Engineering, Boğaziçi University,
34342 Bebek, Istanbul, Turkey

  • Phone: +90 212 359 45 23/24
  • Fax: +90 212 2872461

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