MATH 8335 Deep Learning
This course aims to present the mathematical, statistical and computational challenges of building stable representations for high-dimensional data, such as images, text and data. Topics include recent models from both supervised and unsupervised learning, convolutional architectures, invariance learning, and non-convex optimization.
Prerequisite
Consent of instructor.
Offered
As scheduled