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Deepsets, Graph Neural Networks, and Transformers in Machine Learning - Lecture 7

Offered By: International Centre for Theoretical Sciences via YouTube

Tags

Deep Learning Courses Data Analysis Courses Machine Learning Courses Neural Networks Courses Transformers Courses High-Energy Physics Courses

Course Description

Overview

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Explore advanced machine learning techniques in this lecture focusing on Deepsets, Graph Neural Networks, and Transformers. Delve into the application of these powerful algorithms in the context of High Energy Physics research. Gain insights from expert Sanmay Ganguly as he discusses the potential of these methods for analyzing complex data structures and improving data-driven discoveries in particle physics. Learn how these cutting-edge approaches can be leveraged to process the massive datasets generated by experiments like the Large Hadron Collider, potentially uncovering new physics phenomena and advancing our understanding of the universe.

Syllabus

Lectures on Deepsets, Graph Neural Network and Transformers... (Lecture 7) by Sanmay Ganguly


Taught by

International Centre for Theoretical Sciences

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