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Probing the limits of fake-quantised neural networks

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Introduction

Abstract of the project

Status: Available

Looking for 1 Semester/Master student
Contact: Matteo Spallanzani, Renzo Andri (Huawei RC Zurich)


Competences

Required:

  • Numerical representation formats (integer, floating-point)
  • Numerical analysis
  • Python programming
  • C/C++ programming

Optional:

  • Knowledge of the PyTorch deep learning framework
  • Knowledge of digital arithmetic (e.g., two's complement, overflow, wraparound)


Character

20% Theory
40% C/C++ and Python coding
40% Deep learning


Professor

Luca Benini


Practical Details