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Knowledge Distillation in Efficient Machine Learning - Lecture 9

Offered By: MIT HAN Lab via YouTube

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

Course Description

Overview

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Explore the concept of Knowledge Distillation in this 59-minute lecture from MIT's EfficientML.ai course (6.5940, Fall 2024). Delve into the intricacies of this machine learning technique as presented by Prof. Song Han. Gain insights into how knowledge can be transferred from larger, complex models to smaller, more efficient ones. Examine the principles, methodologies, and applications of Knowledge Distillation in the context of efficient machine learning. Access accompanying slides for a comprehensive understanding of the topic. Ideal for students, researchers, and professionals interested in advanced machine learning techniques and model optimization.

Syllabus

EfficientML.ai Lecture 9 - Knowledge Distillation (MIT 6.5940, Fall 2024, Zoom recording)


Taught by

MIT HAN Lab

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