MSCS 435
Advanced Machine Learning
University of Wisconsin-Stout · UGRD · Fall 2026
1 section
Catalog description
Minimax, alpha-beta pruning, and other tree search algorithms. Deep Q-learning, convolutional neural networks, U-Net, residual neural networks, recurrent neural networks, long short-term memory, generative adversarial networks, transformers, LLMs, and additional contemporary network architectures. Prerequisite: take MSCS-335
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001
Availability not recently verifiedClass #wisconsin_stout-1629Fall 2026UGRD3 credits
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