Knowledge Distillation in Efficient Machine Learning - Lecture 9
Offered By: MIT HAN Lab via YouTube
Course Description
Overview
Explore knowledge distillation techniques in this 58-minute lecture from MIT's EfficientML.ai course (6.5940, Fall 2024). Delve into the principles and applications of knowledge distillation as presented by Prof. Song Han from the MIT HAN Lab. Gain insights into how this technique can be used to transfer knowledge from larger, more complex models to smaller, more efficient ones. Access accompanying slides at efficientml.ai to enhance your understanding of this crucial topic in machine learning optimization.
Syllabus
EfficientML.ai Lecture 9 - Knowledge Distillation (MIT 6.5940, Fall 2024)
Taught by
MIT HAN Lab
Related Courses
Structuring Machine Learning ProjectsDeepLearning.AI via Coursera Natural Language Processing on Google Cloud
Google Cloud via Coursera Introduction to Learning Transfer and Life Long Learning (3L)
University of California, Irvine via Coursera Advanced Deployment Scenarios with TensorFlow
DeepLearning.AI via Coursera Neural Style Transfer with TensorFlow
Coursera Project Network via Coursera