Cifar-10 Image Classification with Convolutional Neural Networks for Embedded Systems
15th IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2018, Aqaba, Ürdün, 28 Ekim - 01 Kasım 2018, cilt.2018-November, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Cilt numarası: 2018-November
- Doi Numarası: 10.1109/aiccsa.2018.8612873
- Basıldığı Şehir: Aqaba
- Basıldığı Ülke: Ürdün
- Anahtar Kelimeler: Convolutional Neural Network, Deep Neural Network, Image Classification, Machine Learning
- Ankara Yıldırım Beyazıt Üniversitesi Adresli: Hayır
Özet
© 2018 IEEE.Convolutional Neural Networks (CNN) have been successfully applied to image classification problems. Although powerful, they require a large amount of memory. The purpose of this paper is to perform image classification using CNNs on the embedded systems, where only a limited amount of memory is available. Our experimental analysis shows that 85.9% image classification accuracy is obtained by our framework while requiring 2GB memory only, making our framework ideal to be used in embedded systems.