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Quantization for Efficient Machine Learning - Part I - Lecture 5

Offered By: MIT HAN Lab via YouTube

Tags

Quantization Courses Machine Learning Courses Neural Networks Courses Model Compression Courses

Course Description

Overview

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Dive into the world of quantization in machine learning with this comprehensive lecture from MIT's 6.5940 course. Explore the fundamental concepts and techniques of quantization, a crucial method for optimizing neural networks and improving computational efficiency. Learn from Professor Song Han as he delves into the first part of this essential topic, providing insights into how quantization can significantly reduce model size and accelerate inference without compromising performance. Gain valuable knowledge applicable to developing efficient machine learning systems for resource-constrained environments. Access accompanying slides for enhanced learning and visual aids to reinforce key concepts presented in this 75-minute session.

Syllabus

EfficientML.ai Lecture 5 - Quantization (Part I) (MIT 6.5940, Fall 2023)


Taught by

MIT HAN Lab

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