Deep Learning Architectures-A Mathematical Approach
- Date: Friday 6 November 2020, 13:00 – 14:00
- Location: Online event
- Type: School Colloquium, Colloquium, Seminars, Computing
- Cost: Free
School of Computing Colloquium with Ovidiu Calin, Professor of Mathematics, Statistics and Machine Learning at Eastern Michigan University.
Join Ovidiu Calin, Professor of Mathematics, Statistics and Machine Learning at Eastern Michigan University where he will talk about his book Deep Learning Architectures – A Mathematical Approach, published in the Springer Data Science Collection in 2020. The book bridges the gap between ideas and conepts of neural networks, which are used nowadays at an intuitive level, and the precise modern mathematical language.
You can join the seminar using this link https://eu.bbcollab.com/guest/36771315c53944ddaf086a519ca387d0
For further details, please contact the event host Professor Karim Djemame at K.Djemame@leeds.ac.uk.
Ovidiu Calin is a Professor of Mathematics, Statistics and Machine Learning at Eastern Michigan University. His researc interest is in sub-Riemannian geometry and sub-elliptic operators, where he has co-authored several books and papers. He has also done work in heat kernels for elliptic and subelliptic operators.