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Overview
What do you know about TinyML? Tiny Machine Learning (TinyML) is one of the fastest-growing areas of Deep Learning and is rapidly becoming more accessible. This course provides a foundation for you to understand this emerging field. TinyML is at the intersection of embedded Machine Learning (ML) applications, algorithms, hardware, and software. TinyML differs from mainstream machine learning (e.g., server and cloud) in that it requires not only software expertise, but also embedded-hardware expertise. The first course in the TinyML...
Syllabus
- Chapter 1: Welcome to TinyML
- Chapter 1.1: Course Overview
- Chapter 1.2: The Future of ML is Tiny and Bright
- Chapter 1.3: TinyML Challenges
- Chapter 1.4: Getting Started
- Chapter 2: Introduction to (Tiny) ML
- Chapter 2.1: The Machine Learning Paradigm
- Chapter 2.2: The Building Blocks of Deep Learning
- Chapter 2.3: Exploring Machine Learning Scenarios
- Chapter 2.4: Building a Computer Vision Model
- Chapter 2.5: Responsible AI Design
- Chapter 2.6: Summary
Harvard University via edX
4 hours
$299.00 Certificate Available
English
On-Demand
Beginner
Instructor
Vijay Janapa Reddi
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