A study on object classification using deep convolutional neural networks and comparison with shallow networks

---

Atıf İçin Kopyala

Erdas A., Arslan E., Ozturkcan B., Yildiran U.

6th International Conference on Control Engineering and Information Technology, CEIT 2018, İstanbul, Türkiye, 25 - 27 Ekim 2018

• Yayın Türü: Bildiri / Tam Metin Bildiri
• Doi Numarası: 10.1109/ceit.2018.8751754
• Basıldığı Şehir: İstanbul
• Basıldığı Ülke: Türkiye
• Anahtar Kelimeler: CFAR-10, CNN, Deep convolutional neural networks, GPU, Image classification
• Yıldız Teknik Üniversitesi Adresli: Hayır

Özet

© 2018 IEEE.The aim of this work is to solve object classification problem using Neural Networks. Two types of neural networks are used and compared, namely, classical Feed Forward Neural Networks and Deep Convolutional Networks. Success of the designed networks is investigated using CIFAR-10 dataset.