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EfficientML.ai - Quantization Part II - Lecture 6

Offered By: MIT HAN Lab via YouTube

Tags

Quantization Courses Machine Learning Courses Neural Networks Courses Hardware Acceleration Courses TensorRT Courses Model Compression Courses

Course Description

Overview

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Dive into advanced quantization techniques in this comprehensive lecture from MIT's 6.5940 course on Efficient Machine Learning. Explore the intricacies of quantization methods, their impact on model performance, and strategies for optimizing neural networks. Learn from Professor Song Han as he delves into the second part of quantization, building upon fundamental concepts to address more complex challenges in efficient machine learning. Gain valuable insights into state-of-the-art approaches for reducing model size and computational requirements without sacrificing accuracy. Enhance your understanding of efficient ML techniques and their practical applications in real-world scenarios.

Syllabus

EfficientML.ai Lecture 6 - Quantization Part II (MIT 6.5940, Fall 2024)


Taught by

MIT HAN Lab

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