Lecture "Hardware fundamentals for Neural Networks"

Course Contents

  • Basics of neural networks
  • Digital multipliers and adders for executing neural networks
  • Execution of neural networks on CPUs, GPUs and TPUs
  • Hardware performance evaluation of neural networks
  • Techniques in reducing power consumption of neural networks
  • In-memory-computing with memristors for neural networks

Organisation

Type: Lecture + Lab
Date: TUCaN
Lecturer: Prof. Dr.-Ing. Li Zhang
CP: see TUCaN
Cycle: every winter semester
Language: English

Prerequisites

  • Basic knowledge of digital circuits
  • Students should be able to write simple programs in the programming language Python