YoVDO

On-Device Training and Transfer Learning - Lecture 19

Offered By: MIT HAN Lab via YouTube

Tags

Transfer Learning Courses Machine Learning Courses Neural Networks Courses Federated Learning Courses Edge Computing Courses Model Optimization Courses Data Privacy Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore on-device training and transfer learning techniques in this comprehensive lecture from MIT's 6.5940 course on Efficient Machine Learning. Delve into the intricacies of adapting pre-trained models for specific tasks and learn how to implement machine learning algorithms directly on edge devices. Gain insights from Professor Song Han as he discusses cutting-edge strategies for optimizing model performance and efficiency in resource-constrained environments. Discover the potential of on-device learning to enhance privacy, reduce latency, and improve personalization in AI applications. Access accompanying slides for visual aids and additional resources to deepen your understanding of these advanced machine learning concepts.

Syllabus

EfficientML.ai Lecture 19: On-Device Training and Transfer Learning (MIT 6.5940, Fall 2023, Zoom)


Taught by

MIT HAN Lab

Related Courses

Fog Networks and the Internet of Things
Princeton 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