Lecture Description:

In this talk, we will present a neuroscience approach to optimize state-of-the-art deep learning networks into sparse topology and realize this on FPGAs at significantly higher performance without major loss of accuracy.
The talk will cover the FPGA implementation to fully exploit the advantage of sparse network by creating an unique Domain Specific Architecture (DSA).