ARI 306 Deep Learning and Neural Networks
This course is intended to explore the structure, function, and application of deep neural networks. Students will have the opportunity to examine architectures such as convolutional and recurrent neural networks, as well as optimization methods and challenges unique to deep learning.
Prerequisites: ARI 303, MAT 203, and MAT 207