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Efficient CNN Accelerator on FPGA

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اقرأ أكثر حفظ في قائمتي

المؤلفون: S. Nalesh; S Kala
المصدر:
IETE Journal of Research. 66:733-740
الموضوع:
business.industry; Computer science; Deep learning; Computer Science::Neural and Evolutionary Computation; 020208 electrical & electronic engineering; ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION; Weather forecasting; 020206 networking & telecommunications; 02 engineering and technology; computer.software_genre; Convolutional neural network; Computer Science Applications; Theoretical Computer Science; Computer Science::Computer Vision and Pattern Recognition; Computer Science::Multimedia; Pattern recognition (psychology); 0202 electrical engineering, electronic engineering, information engineering; Hardware acceleration; Artificial intelligence; Electrical and Electronic Engineering; business; Field-programmable gate array; computer; Physics::Atmospheric and Oceanic Physics
الدخول الالكتروني :
https://explore.openaire.eu/search/publication?articleId=doi_________::6e4227fd008cf34f61aed852a30b09b9
https://doi.org/10.1080/03772063.2020.1821797

معلومة اضافية
- بيانات النشر:
  Informa UK Limited, 2020.
- الموضوع:
  2020
- نبذة مختصرة :
  Convolutional neural networks (CNNs) are classical models for computer vision and machine learning applications such as video surveillance, pattern recognition, weather forecasting, traffic, and sa...
- ISSN:
  0974-780X
  0377-2063
- الرقم المعرف:
  10.1080/03772063.2020.1821797
- الرقم المعرف:
  edsair.doi...........6e4227fd008cf34f61aed852a30b09b9

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