Explore advanced machine learning techniques in this lecture on Deepsets, Graph Neural Networks, and Transformers. Delve into the application of these powerful algorithms in the context of High Energy Physics research. Learn how these cutting-edge methods can be utilized to analyze complex data from particle physics experiments, potentially uncovering new insights and advancing our understanding of fundamental physics. Gain valuable knowledge from expert Sanmay Ganguly as part of the "Statistical Methods and Machine Learning in High Energy Physics" program organized by the International Centre for Theoretical Sciences.
Deepsets, Graph Neural Networks, and Transformers in Machine Learning - Lecture 4
International Centre for Theoretical Sciences via YouTube
Overview
Syllabus
Lectures on Deepsets, Graph Neural Network and Transformers with.....(Lecture-4) by Sanmay Ganguly
Taught by
International Centre for Theoretical Sciences
Related Courses
-
Deepsets, Graph Neural Networks, and Transformers in Machine Learning - Lecture 4
-
Deepsets, Graph Neural Networks, and Transformers in Machine Learning - Lecture 7
-
Deepsets, Graph Neural Networks, and Transformers in Machine Learning - Lecture 2
-
Deepsets, Graph Neural Networks, and Transformers in High Energy Physics - Lecture 6
-
Deepsets, Graph Neural Networks, and Transformers in Machine Learning - Lecture 9
-
Deepsets, Graph Neural Networks, and Transformers in Machine Learning - Lecture 1
