ML On-Device: Building Efficient Models
Offered By: Open Data Science via YouTube
Course Description
Overview
Explore the world of on-device machine learning in this 34-minute video presentation by Danni Li. Dive into the intricacies of building efficient models for mobile and edge devices, enabling real-time tasks like image recognition and natural language processing. Learn about the advantages of on-device ML, including enhanced privacy and instantaneous decision-making. Discover efficient model training and inference techniques, and gain insights into valuable learning resources. Conclude with a Q&A session to deepen your understanding of this cutting-edge technology that powers features like beauty filters in video apps while preserving data privacy.
Syllabus
- Intro
- On Device ML
- Efficient Model and Training Inference
- Learning Resources
- Q&A
Taught by
Open Data Science
Related Courses
Fog Networks and the Internet of ThingsPrinceton University via Coursera AWS IoT: Developing and Deploying an Internet of Things
Amazon Web Services via edX Business Considerations for 5G with Edge, IoT, and AI
Linux Foundation via edX 5G Strategy for Business Leaders
Linux Foundation via edX Intel® Edge AI Fundamentals with OpenVINO™
Intel via Udacity