Our Neural Networks in Artificial Intelligence course explores how different neural networks work as well as their structure and architecture. Study artificial neural networks (ANN), convolutional neural networks (CNN), recurrent neural networks (RNN) and more. Learn about where neural networks are used (anomaly detection, prediction of sale values, predicting time series, image classification and many more), and practice evaluating and resolving industry-related problems, including your own.
Note(s)
Course Delivery Method:
This is normally an in-class course but will be offered temporarily online via Blackboard Learn while college buildings are closed.
Prerequisites
You must have completed our COMP 9721 Introduction to Machine Learning course.
Hours and Fees
Hours
42
Fee
$379
(includes a non-refundable materials fee of $70)
Course Sections
There are no classes currently scheduled for this course; however, check back in case we develop additional schedules for the current academic year (through August 2022). If you would like to receive an email notification reminder when our fall term (September to December 2022) is released, complete our notification sign-up form.
- Contact Information
- Contact:
- Technology Department
- Email:
- cetechnology@georgebrown.ca
- Phone:
- Location(s):