EECE-4710: IoT and Tiny Machine Learning
(Spring 2024)
Course Introduction
Description
This course introduces students to applied tiny machine
learning (TinyML) for embedded Internet of Things (IoT)
devices.
Instructor
Cristinel Ababei, cristinel.ababei@marquette.edu
Phone: 414-288-5720
Office: Haggerty Hall, #220
Syllabus
For a more detailed course
description, objectives, and policies see the Syllabus.
Textbook
[1] Pete Warden and Daniel Situnayake, TinyML: Machine
Learning with TensorFlow Lite on Arduino and Ultra-Low-Power
Microcontrollers, O'Reilly Media, 2020.
[2]
Vijay Janapa Reddi at Harvard and open-source collaborators, Machine Learning Systems with TinyML,
Open-source collaborative-effort book, 2023-present.
[3] Gian Marco Iodice and Ronan Naughton, TinyML Cookbook:
Combine artificial intelligence and ultra-low-power embedded
devices to make the world smarter, 2022.
[4] Francois Chollet, Deep Learning with Python, Manning,
Second Edition, 2021.
Hardware Kit
Arduino Tiny Machine Learning Kit: Arduino
Tiny Machine Learning Kit. The kit includes:
[1] Arduino Nano 33 BLE Sense board
[2] OV7675 Camera
[3] Arduino Tiny Machine Learning Shield
[4] USB A to Micro USB Cable
Schedule
Resources
Prof. Marcelo Rovai - TinyML - Machine Learning for Embedding Devices, UNIFEI
Prof. Vijay Janapa Reddi - CS249r: Tiny Machine Learning, Applied Machine Learning on Embedded IoT Devices, Harvard
tinyML Foundation - non-profit professional organization supporting and connecting the TinyML world.
Select and join a tinyML group near you for free - to stay up to date with new tinyML technologies and upcomming event. Meetup is a social media platform for hosting and organizing in-person and virtual activities, gatherings, and events for people and communities of similar interests, hobbies, and professions.
Jason Brownlee - MachineLearningMastery