Neural Networks

Catalog description

Topics include the history of neural networks, introduction to machine learning, classification, and regression, fabrication/training/testing of various neural network architectures including single-layer, multi-layer, residual, and recurrent networks. Subtopics include supervised learning, unsupervised learning, reinforcement learning, deep learning, convolution networks, transformer networks, and generative modeling. Click here for the Summer 2026 Schedule of Classes Click here for the Fall 2026 Schedule of Classes Add to Portfolio (opens a new window) Add to My Favorites (opens a new window) Share this Page Facebook this Page (opens a new window) Tweet this Page (opens a new window)