Neural Networks and Deep Learning
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Overview
Subject area
EE
Catalog Number
59838
Course Title
Neural Networks and Deep Learning
Department(s)
Description
Theoretical fundamentals of neural networks and deep learning. Deep neural networks, gradient descent, backpropagation, regularization, convolutional networks, transformers, graph neural networks, generative adversarial networks, autoencoders, long short-term memory, reinforcement learning, modified Hopfield neural networks and MIMO, Kolmogorov-Arnold networks.
Academic Career
Undergraduate
Liberal Arts
No
Credits
Minimum Units
3
Maximum Units
3
Academic Progress Units
3
Repeat For Credit
No
Components
Name
Lecture
Hours
3