• Neural Networks in Artificial Intelligence COMP 9724

    New

    Despite the accuracy that they can give us, classical regression and classification algorithms are still not quite successful in some specific artificial intelligence problems (such as vision, speech and natural languages). Neural networks can help us significantly in addressing those problems. Our Neural Networks in Artificial Intelligence course explores the structures and architectures of different neural networks, including artificial neural networks, convolutional neural network and recurrent neural networks. Study practical examples of where neural networks are used (fraud detection, equipment failure detection, prediction of sale values of various investments, image classification), and learn to evaluate and resolve your own industry-related problems through neural networks.

    Prerequisite(s)

    You must have completed our COMP 9723 Machine Learning: Practical Data Analysis course.

    Contact Information

    Some courses require you to purchase a textbook. The cost of the textbook is not included in the course fee unless otherwise indicated. If there is a textbook assigned for this course, it will be listed on the bookstore website.