In embedded systems image classification with convolutional Neural Network Evrisimsel Sinir Aǧlari(CNN) ile Gömülü Sistemlerde Görüntü Siniflandirmasi


Calik R. C. , Demirci M. F.

26th IEEE Signal Processing and Communications Applications Conference, SIU 2018, İzmir, Turkey, 2 - 05 May 2018, pp.1-4 identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/siu.2018.8404296
  • City: İzmir
  • Country: Turkey
  • Page Numbers: pp.1-4
  • Keywords: Convolutional Neural Network, Deep Neural Network, Image Classification, Machine Learning

Abstract

© 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.