In embedded systems image classification with convolutional Neural Network Evrisimsel Sinir Aǧlari(CNN) ile Gömülü Sistemlerde Görüntü Siniflandirmasi
26th IEEE Signal Processing and Communications Applications Conference, SIU 2018, İzmir, Türkiye, 2 - 05 Mayıs 2018, ss.1-4, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Doi Numarası: 10.1109/siu.2018.8404296
- Basıldığı Şehir: İzmir
- Basıldığı Ülke: Türkiye
- Sayfa Sayıları: ss.1-4
- Anahtar Kelimeler: Convolutional Neural Network, Deep Neural Network, Image Classification, Machine Learning
- Ankara Yıldırım Beyazıt Üniversitesi Adresli: Hayır
Özet
© 2018 IEEE.Deep Neural Network is successfully applied for image classification problems. The understanding of what object is detected in the image is great interested. The prupose of this article is that image classification problem could be applied in real time systems. In this article we propose a CNN architecture for Cifar-10 dataset. This article is shown that with 2GB memory real time system achieves %85.8 accuracy for image classification.