CS 7357:Neural Networks and Deep Learning

3 Class Hours 0 Laboratory Hours 3 Credit Hours
Prerequisite: CS 6045
This course is an introduction to deep learning and the methodologies for applying artificial neural networks. It covers the fundamentals of deep learning and the theoretical principles of neural networks, including deep learning models such as convolutional architectures, recurrent architectures, and other types of neural networks.

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