Dr. Schreyer talks Artificial Neural Networks

Nipissing University’s Computer Science and Mathematics department is pleased to present a special lecture by Dr. Boguslaw Schreyer, titled Artificial Neural Networks on Friday, March 21, at 1:30 p.m. in room A223.

The presentation is aimed at high school students and general audience.

Here is an abstract on the lecture:

In computer science and related fields, artificial neural networks are computational models inspired by animal central nervous systems (in particular the brain) that are capable of machine learning and pattern recognition. They are usually presented as systems of interconnected "neurons" that can compute values from inputs by feeding information through the network. For example, in a neural network for handwriting recognition, a set of input neurons may be activated by the pixels of an input image representing a letter or digit. The activation of these neurons are then passed on, weighted and transformed by some function determined by the network's designer, to other neurons, etc., until finally an output neuron is activated that determines which character was read. Like other machine learning methods, neural networks have been used to solve a wide variety of tasks that are hard to solve using ordinary rule--‐based programming, including computer vision and speech recognition. An example of pattern recognition will be also presented.