Tom Michiels, System Architect for Embedded Vision at Synopsys, presents the “New Deep Learning Techniques for Embedded Systems” tutorial at the May 2018 Embedded Vision Summit.
In the past few years, the application domain of deep learning has rapidly expanded. Constant innovation has improved the accuracy and speed of learning and inference. Many techniques are proposed to represent and learn more knowledge with smaller/more compact networks. Mapping these new techniques on low power embedded platforms is challenging because they are often very demanding on compute, bandwidth and accuracy. In this presentation, Michiels discusses the latest state-of the art deep learning techniques and their implications for the requirements of embedded platforms.