CS 5870 - Introduction to Artificial Neural Networks

3 Credits (Minimum) 3 Credits (Maximum)

The course will cover basic neural network architecture and learning algorithms. Topics include biological motivation, perceptions, back-propagation, self-organizing maps, recurrent networks, and deep learning. Prer., MATH 2350 or equivalent; good programming skills; Graduate students only. Meets with CS 4870.