EfficientML.ai - Quantization Part I - Lecture 5
Offered By: MIT HAN Lab via YouTube
Course Description
Overview
Dive into the world of quantization in machine learning with this comprehensive lecture from MIT's 6.5940 course. Explore the fundamentals of quantization techniques and their applications in efficient ML systems. Learn from Professor Song Han as he delves into the first part of this crucial topic, covering key concepts and practical implementations. Access accompanying slides for enhanced understanding and follow along with this Zoom recording to gain valuable insights into optimizing machine learning models through quantization methods.
Syllabus
EfficientML.ai Lecture 5 - Quantization (Part I) (MIT 6.5940, Fall 2023, Zoom recording)
Taught by
MIT HAN Lab
Related Courses
TensorFlow Lite for Edge Devices - TutorialfreeCodeCamp Few-Shot Learning in Production
HuggingFace via YouTube TinyML Talks Germany - Neural Network Framework Using Emerging Technologies for Screening Diabetic
tinyML via YouTube TinyML for All: Full-stack Optimization for Diverse Edge AI Platforms
tinyML via YouTube TinyML Talks - Software-Hardware Co-design for Tiny AI Systems
tinyML via YouTube