Introduction to (Shallow) Neural Networks
Introduction to (Shallow) Neural Networks
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 […]