Quantization for Efficient Machine Learning - Part II
Offered By: MIT HAN Lab via YouTube
Course Description
Overview
Dive into the second part of a comprehensive lecture on quantization in machine learning, delivered by Prof. Song Han as part of MIT's 6.5940 course for Fall 2023. Explore advanced concepts and techniques in quantization, building upon the foundations laid in the previous session. Gain insights into the latest developments in efficient machine learning, with a focus on reducing model size and computational requirements without sacrificing performance. Learn how quantization techniques can be applied to various neural network architectures and understand their impact on model deployment in resource-constrained environments. Access accompanying slides at efficientml.ai to enhance your learning experience and follow along with the detailed explanations and examples provided during this 71-minute Zoom recording.
Syllabus
EfficientML.ai Lecture 6 - Quantization (Part II) (MIT 6.5940, Fall 2023, Zoom recording)
Taught by
MIT HAN Lab
Related Courses
Neural Networks for Machine LearningUniversity of Toronto via Coursera Good Brain, Bad Brain: Basics
University of Birmingham via FutureLearn Statistical Learning with R
Stanford University via edX Machine Learning 1—Supervised Learning
Brown University via Udacity Fundamentals of Neuroscience, Part 2: Neurons and Networks
Harvard University via edX