“Enabling Automated Design of Computationally Efficient Deep Neural Networks,” a Presentation from UC Berkeley
Bichen Wu, Graduate Student Researcher in the EECS Department at the University of California, Berkeley, presents the “Enabling Automated Design of Computationally Efficient Deep Neural Networks” tutorial at the May 2019 Embedded Vision Summit. Efficient deep neural networks are increasingly important in the age of AIoT (AI + IoT), in which people hope to deploy […]