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Jun 07, 2025
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AIT 442 - Deep Generative Models
Class Hour(s) 3
Laboratory Hour(s) 0
3 Semester Credit Hour(s)
Generative models are widely used in many subfields of AI and Machine Learning. Recent advances in parameterizing these models using neural networks, combined with progress in stochastic optimization methods, have enabled scalable modeling of complex, high-dimensional data including images, text, and speech. Course coves study the probabilistic foundations and learning algorithms for deep generative models, including Variational Autoencoders (VAE), Generative Adversarial Networks (GAN), and flow models. The course will also discuss application areas that have benefitted from deep generative models, including computer vision, speech and natural language processing, and reinforcement learning.
Prerequisite(s): AIT 201
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