EEE 6778
Applied Machine Learning II
Advanced topics in applied machine learning with an applied focus. Topics include graphical models, unsupervised learning, model selection, as well as variational auto-encoder, generative adversarial network, and recursive deep learning architectures.
Topics
- graphical models
- unsupervised learning
- model selection
- as well as variational auto-encoder
- generative adversarial network
- and recursive deep learning architectures
Topics explicitly listed in official catalogue description
Prerequisites & course information
Grading Scheme: Letter Grade Prerequisite: EEE 5776 Applied Machine Learning.
Sources
- Course catalogue ↗2025-2026