Introduction to Deep Learning

Catalog description

The course covers basic concepts of neural networks which include transition of classical machine learning to hierarchical feature learning, feedforward networks, regularization, optimization, hyperparameter tuning, deep convolutional networks and their applications in computer vision, deep sequence models, and deep generative models. Taught with CSCI 4425 . Requires more advanced graduate work than CSCI 4425 .