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  • 标题:GPU Based Image Classification using Convolutional Neural Network Chicken Dishes Classification
  • 本地全文:下载
  • 作者:Hafizhan Aliady ; Dina Tri Utari
  • 期刊名称:International Journal of Advances in Soft Computing and Its Applications
  • 印刷版ISSN:2074-8523
  • 出版年度:2018
  • 卷号:10
  • 期号:2
  • 出版社:International Center for Scientific Research and Studies
  • 摘要:The internet makes human life easier, one of them is in orderingfood. By only using smartphones and opening food delivery features,in the application, consumers can order food from restaurants thatcollaborate with the e-commerce. The case study that we did wasclassifying the types of chicken dishes namely “ayam geprek”,“ayam goreng”, and “ayam bakar” using CNN method. CNNmethod is a popular method for image classification. This research isdoing image classification using CNN method based on GPU. Fromseveral models built, obtained the best model with an accuracy of99% and training speed about 233 seconds. While for comparison ofCNN method based on CPU and GPU obtained the conclusion thatthe most rapid training process using GPU.
  • 关键词:classification; chicken dishes; image; CNN; GPU
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