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

Structuring Machine Learning Projects
DeepLearning.AI via Coursera Структурирование проектов по машинному обучению
DeepLearning.AI via Coursera 머신 러닝 프로젝트 구조화
DeepLearning.AI via Coursera Stanford CS330: Deep Multi-Task and Meta Learning
Stanford University via YouTube Stanford Seminar - The Next Generation of Robot Learning
Stanford University via YouTube