A Survey of Convolutional Neural Networks on Edge with Reconfigurable Computing

@article{Vstias2019ASO,
  title={A Survey of Convolutional Neural Networks on Edge with Reconfigurable Computing},
  author={M{\'a}rio P. V{\'e}stias},
  journal={Algorithms},
  year={2019},
  volume={12},
  pages={154}
}
  • Mário P. Véstias
  • Published in Algorithms 2019
  • Mathematics, Computer Science
  • The convolutional neural network (CNN) is one of the most used deep learning models for image detection and classification, due to its high accuracy when compared to other machine learning algorithms. CNNs achieve better results at the cost of higher computing and memory requirements. Inference of convolutional neural networks is therefore usually done in centralized high-performance platforms. However, many applications based on CNNs are migrating to edge devices near the source of data due to… CONTINUE READING

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