Deep Learning

Prerequisite: CSCI 3302, CSCI 3771, MATH 1123, MATH 2216, MATH 3305, or consent of instructor.

An introduction to deep learning, a branch of machine learning concerned with the development and application of modern neural networks. Deep learning algorithms extract layered high-level representations of data in a way that maximizes performance on a given task. Deep learning is behind many recent advances in AI, including Siri’s speech recognition, Facebook’s tag suggestions, and self-driving cars. The main topics in this course include: basic neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), long short-term memory (LSTM), reinforcement learning, and applications to problem domains like computer vision.

Credit: 3