Workflow of deep learning application on astronomical research: Hunting Giant Radio Galxy as an case study

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 Time:  Tuesday, December 22, 2020, 02:00pm
 Title:  Workflow of deep learning application on astronomical research: Hunting Giant Radio Galxy as an case study
 Speaker:  Mr. Hongming Tang, PhD candidate from the University of Manchester
 Location:

S621


ABSTRACT

Machine learning application upon astronomical studies can be traced back to 1990s, while it was until recent years that astronomical community started to pay significant attention to this area. In this talk, I will recap the basics of machine learning, especially artificial neural networks, and use my deep learning algorithm for Giant Radio Galaxy classification as an example to run through an ordinary astro-ML application workflow.

Host: Dandan Xu


Slides: