YoVDO

TinyEngine and Parallel Processing for Efficient Machine Learning - Lecture 11

Offered By: MIT HAN Lab via YouTube

Tags

Machine Learning Courses Neural Networks Courses Embedded Systems Courses Microcontrollers Courses Code Generation Courses Parallel Processing Courses TinyEngine Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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 covers the latest developments in optimizing machine learning algorithms for resource-constrained environments. Learn about innovative techniques for improving computational efficiency and performance in AI systems. Gain valuable insights into the practical applications of TinyEngine and parallel processing strategies in the field of efficient machine learning. Access accompanying slides for enhanced understanding and visual aids to complement the lecture content.

Syllabus

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


Taught by

MIT HAN Lab

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity
Natural Language Processing
Columbia University via Coursera
Probabilistic Graphical Models 1: Representation
Stanford University via Coursera
Computer Vision: The Fundamentals
University of California, Berkeley via Coursera
Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent