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TinyEngine and Parallel Processing - Lecture 11

Offered By: MIT HAN Lab via YouTube

Tags

Parallel Processing Courses Machine Learning Courses Neural Networks Courses Embedded Systems Courses Microcontrollers Courses Code Generation Courses Memory Management Courses Compiler Design Courses TinyEngine Courses

Course Description

Overview

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Explore the intricacies of TinyEngine and parallel processing in this comprehensive lecture from MIT's 6.5940 course on Efficient Machine Learning. Delve into advanced concepts presented by Prof. Song Han as he discusses cutting-edge techniques for optimizing machine learning models on resource-constrained devices. Learn about the innovative TinyEngine framework and its applications in enhancing the efficiency of ML algorithms. Gain insights into parallel processing strategies that can significantly boost the performance of machine learning models. Access accompanying slides at efficientml.ai to reinforce your understanding of these complex topics. Ideal for students, researchers, and professionals seeking to deepen their knowledge in efficient machine learning and embedded AI systems.

Syllabus

EfficientML.ai Lecture 11 - TinyEngine and Parallel Processing (MIT 6.5940, Fall 2023, Zoom)


Taught by

MIT HAN Lab

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