HAEEAI - Hardware Architectures for Embedded and Edge AI

This repository contains the material for the M.Sc. course "Hardware Architecture for Embedded and Edge AI" - Politecnico di Milano - 2022-2023

Lecturer: Prof. Manuel Roveri

Exercise session: Massimo Pavan

Course Program (video links for POLIMI students):

• Lectures:
  • 01 - Intro to the course (video)
  • 02 - Embedded and Edge Hardware (video)
  • 03 - Algorithms for Embedded and Edge AI (video1, video2)
  • 04 - Machine Learning for Embedded and Edge AI (video1, video2)
  • 05 - Deep learning for EEAI (video)
  • 06 - Architectures for EEAI (video)
  • 07 - Approximate Computing for EEAI (video1, video2)
  • 08 - Early Exit Neural Networks (video)
  • 09 - Learning in presence of concept drift (video)
  • 10 - Deep Learning for IoT (video)
• Exercise session:
  • Ex. 01 - Platform and firmware (video)
  • Ex. 02 - Tensorflow and CNNs (video)
    • colab1, colab2, colab3
  • Ex. 03 - Data collection with Edge Impulse
  • Ex. 04 - TinyML and TFL4M (video)
    • colab1, colab2, colab3, Hands On
  • Ex. 05 - Keyword Spotting Training (video)
    • colab
  • Ex. 06 - Deploying Keyword Spotting (video)
  • Ex. 07 - Train and Deploy VWW (video)
    • colab
  • Ex. 08 - Deployment Options (video)
  • Ex. 09 - Anomaly Detection with IMUs (video)
    • EdgeImpulse Repo
• Seminars:
  • Sem. 01 - A Generic IoT System - Lecturer: Prof. Roberto Vezzani, University of Modena and Reggio Emilia (video)
  • Sem. 02 - ML Ethics - Lecturer: Prof. Viola Schiaffonati, Politecnico di Milano (video)