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Introduction to (Shallow) Neural Networks
May 27, 2019 @ 10:00 am - 12:00 pm +04
During the two-hour lecture Prof. Andreas Pester will cover the following topics:
- Logistic regression
- Feed forward and backward propagation
- Statistics of logistic regression
- Principles and properties of a shallow network algorithm
- Feed forward and backward propagation, architecture
About the Speaker:
Prof. Andreas Pester received his PhD from Kiev State University in 1979. He has more than 20 years of experience in e-learning in higher education, specifically in strategic planning for using e-learning in higher education for internationalization and in platform evaluation. He has more than 25 years of experience in teaching math and mathematical modelling, simulation technologies, remote engineering, and online labs.
Currently he is a Professor of mathematics and mathematical modelling at the Carinthia University of Applied Sciences. He is an author of more than 75 publications.
Language: English
