YoVDO

Knowledge Distillation in Efficient Machine Learning - Lecture 9

Offered By: MIT HAN Lab via YouTube

Tags

Machine Learning Courses Deep Learning Courses Neural Networks Courses Ensemble Learning Courses Transfer Learning Courses Model Optimization Courses Model Compression Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore knowledge distillation techniques in this lecture from MIT's EfficientML.ai course (6.5940, Fall 2023). Delve into the concept of transferring knowledge from a large, complex model to a smaller, more efficient one. Learn how this process can maintain performance while reducing computational requirements. Examine various distillation methods, their applications in machine learning, and their impact on model efficiency. Gain insights from Prof. Song Han's expertise in the field of efficient machine learning. Access comprehensive slides and additional resources to enhance your understanding of this crucial topic in AI optimization.

Syllabus

EfficientML.ai Lecture 9 - Knowledge Distillation (MIT 6.5940, Fall 2023)


Taught by

MIT HAN Lab

Related Courses

Neural Networks for Machine Learning
University 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