On-Device Training and Transfer Learning - Lecture 19
Offered By: MIT HAN Lab via YouTube
Course Description
Overview
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
Secure and Private AIFacebook via Udacity Advanced Deployment Scenarios with TensorFlow
DeepLearning.AI via Coursera Big Data for Reliability and Security
Purdue University via edX MLOps for Scaling TinyML
Harvard University via edX Edge Analytics: IoT and Data Science
LinkedIn Learning