Lecture "Hardware for Neural Networks"

Course Contents

  • Training and inference of neural networks
  • Challenges in accelerating neural networks
  • Computation cost reduction in neural networks
  • Neural networks acceleration with logic design and FPGAs
  • Neural networks acceleration with in-memory-computing platforms

Organisation

Type: Lecture + Lab
Date: TUCaN (Lab is taken in the summer break in the middle of Septemebr)
Lecturer: Prof. Dr.-Ing. Li Zhang
CP: see TUCaN
Cycle: every summer semester
Language: English

Prerequisites

  • Basic programming skills in Python.