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

Course Description

Overview

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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

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