A kindler gentler DNN research paper summary…
“Efficient Processing of Deep Neural Networks: A Tutorial and Survey”
Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, and Joel Emer
This 2017 paper provides a good overview of the latest trends in DNN (Deep Neural Networks) by our friends at MIT. For those not reading all of the research papers, this will serve as a kindler gentler introduction into the latest.
DNN Tutorial Survey:
- An intro in DNN
- DNN models that are currently in use
- Hardware for DNN and implications for future energy efficient designs
- HW/SW Codesign optimizations
This broad survey packs a lot into its 32-pages and has most of latest and of course a great reference section (162 references). After the 1st 12-13 pages it has more of a focus on HW design implications.