ECSE 4850 - Introduction to Deep Learning

Deep learning fundamentals and applications in artificial intelligence. Topics include machine learning foundation, linear regression and classification, deep neural networks, convolutional neural networks, recurrent neural networks, generative adversary neural networks, Bayesian neural networks, deep Boltzmann machine, deep Bayesian networks, and deep reinforcement learning.

Prerequisite: CSCI 1200 and ECSE 2500 and (MATH 2010 or (MATH 2011 and MATH 2012)),

When Offered: SPRING TERM ANNUALLY

Co-Listed: ECSE 6850. Students cannot obtain credit for both this course and the cross listed course.

Graded: GRADED

Credit Hours: 3

SCHOOLS & PROGRAMS

RPI CONNECTIONS

ENGAGE

ECSE 4850 - Introduction to Deep Learning