Deep Learning

Catalog description

This course provides an overview of deep neural network learning (covering mathematical foundations as well as example applications in NLP, computer vision, and reinforcement learning). Upon successful completion, students will be able to grasp the mathematical basics of deep learning, solve practical machine learning problems in applications, and implement software prototypes of deep learning solutions to these problems. | Prerequisites: ( CS-GY 6923 or ECE-GY 6143 or equivalent graduate course) AND graduate Standing. Anti-Requisite: CE-GY 7893