Probing the limits of fake-quantised neural networks
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Introduction
Abstract of the project
Project description
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
Status: Available
We are looking for 1 Master student. It is possible to complete the project either as a Semester Project or a Master Thesis. Supervisors: Matteo Spallanzanispmatteo@iis.ee.ethz.ch, Renzo Andri (Huawei RC Zurich)
