A Convolutional Neural Network Fully Implemented on FPGA for Embedded Platforms

@article{Bettoni2017ACN,
  title={A Convolutional Neural Network Fully Implemented on FPGA for Embedded Platforms},
  author={Marco Bettoni and Gianvito Urgese and Yuki Kobayashi and Enrico Macii and Andrea Acquaviva},
  journal={2017 New Generation of CAS (NGCAS)},
  year={2017},
  pages={49-52}
}
Convolutional Neural Networks (CNNs) allow fast and precise image recognition. Nowadays this capability is highly requested in the embedded system domain for video processing applications such as video surveillance and homeland security. Moreover, with the increasing requirement of portable and ubiquitous processing, power consumption is a key issue to be accounted for.In this paper, we present an FPGA implementation of CNN designed for addressing portability and power efficiency. Performance… CONTINUE READING

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