YoVDO

Next-Level Parameter Sharing - The Future of AI Collaboration

Offered By: tinyML via YouTube

Tags

TinyML Courses Artificial Intelligence Courses Machine Learning Courses Neural Networks Courses Embedded Systems Courses Edge Computing Courses Model Optimization Courses Multi-Task Learning Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the cutting-edge concept of hard contextual parameter sharing in multi-task learning for tinyML applications. Delve into this innovative approach presented by Michael Gibbs from Nottingham Trent University in a concise 15-minute talk. Gain insights into how this technique is shaping the future of AI collaboration and its potential impact on resource-constrained machine learning environments.

Syllabus

Next-Level Parameter Sharing: The Future of AI Collaboration


Taught by

tinyML

Related Courses

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