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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

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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

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