Data Science (DATA) - Artificial Neural Network Computing
COSC 2116 Artificial Neural Network Computing
Prerequisites:
COSC 1557 and
MATH 1056
Hours:
Three hours of lecture per week for one term.
Credits:
3
Description:
This course will introduce principles of Artificial Neural Networks (ANN) computing and its applications. The key models of ANN will be presented and analyzed. Multilayer feedforward networks and Hopfield networks, the principles of Boltzman machines, and supervised and unsupervised learning will be presented and discussed. Several applications of ANN will be analyzed, among them applications to mathematical logic, pattern and image recognition and system control. Students will create and analyze their own models of ANN.