Deep Learning on FPGAs: Past, Present, and Future

  title={Deep Learning on FPGAs: Past, Present, and Future},
  author={Griffin Lacey and Graham W. Taylor and Shawki Areibi},
The rapid growth of data size and accessibility in recent years has instigated a shift of philosophy in algorithm design for artificial intelligence. Instead of engineering algorithms by hand, the ability to learn composable systems automatically from massive amounts of data has led to groundbreaking performance in important domains such as computer vision, speech recognition, and natural language processing. The most popular class of techniques used in these domains is called deep learning… CONTINUE READING
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