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Probing the limits of fake-quantised neural networks

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Short Description

Abstract of the project

Status: Available

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

Prerequisites

Experience in C/C++ and Python programming
Knowledge of numerical analysis
(Recommended) Experience in the PyTorch deep learning framework
(Recommended) Knowledge of numerical representation formats and digital arithmetic

Character

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

Professor

Luca Benini

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Detailed Task Description

Goals

Practical Details

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