Computer Science Seminar
Neural Networks and Deep Learning
When: Friday, February 07, 2020
Where: PGH 232
Time: 11:00 AM
Speaker: Dr. Russel Pears, Auckland University of Technology (New Zealand)
Host: Dr. Gopal Pandurangan
Neural networks are a cornerstone technology in machine learning. Inspired by the human brain, they provide high precision solutions to a wide array of problems from diverse application domains. In this talk I will cover the fundamental principles behind the development of a widely used form of neural networks, known as the Multi Layer Perceptron (MLP), and then briefly discuss some of its applications. I will end with a discussion of how the MLP can be extended to deep neural network architectures such as the Convolutional Neural Network, or CNN.Bio:
Dr. Russel Pears is an Associate Professor in the Department of Computer Science at the Auckland University of Technology in New Zealand. During his three-decade plus career in the field of Computing, he has taught across a wide variety of areas in the Computer Science curriculum. He has assumed a number of senior leadership roles during the course of his career, including leadership of the Master’s and Doctoral programs in Computer Science. His research interests are primarily in the areas of Data Mining and Machine Learning, where he has published in top-tier conferences and journals.