YoVDO

Geometric Deep Learning: A Temperature-Based Analysis of Graph Neural Networks

Offered By: Conference GSI via YouTube

Tags

Geometric Deep Learning Courses Machine Learning Courses Deep Learning Courses Neural Networks Courses Graph Theory Courses Network Analysis Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a temperature-based analysis of graph neural networks in this 16-minute conference talk from GSI. Delve into the fascinating world of Geometric Deep Learning and gain insights into how temperature affects the performance and behavior of graph neural networks. Discover new perspectives on this cutting-edge field and enhance your understanding of advanced machine learning techniques applied to graph-structured data.

Syllabus

Geometric Deep Learning: a temperature based analysis of graph neural networks


Taught by

Conference GSI

Related Courses

Neural Networks for Machine Learning
University of Toronto via Coursera
機器學習技法 (Machine Learning Techniques)
National Taiwan University via Coursera
Machine Learning Capstone: An Intelligent Application with Deep Learning
University of Washington via Coursera
Прикладные задачи анализа данных
Moscow Institute of Physics and Technology via Coursera
Leading Ambitious Teaching and Learning
Microsoft via edX