This course will cover the fundamental underpinnings and practice of deep learning, including neural network architectures, optimization algorithms, and applications to perception and Artificial Intelligence.
Requisites
Prerequisites:
(MATH 2605 (Min. Grade: D) or MATH 2401 (Min. Grade: D) or MATH 24X1 (Min. Grade: D) or MATH 2411 (Min. Grade: D) or MATH 2550 (Min. Grade: D) or MATH 2551 (Min. Grade: D) or MATH 2561 (Min. Grade: D) or MATH 2X51 (Min. Grade: D)) and (CS 2110 (Min. Grade: D) or CS 2261 (Min. Grade: D)) and (CS 3510 (Min. Grade: D) or CS 3511 (Min. Grade: D))
Restrictions:
Must be enrolled in one of the following Campuses: Georgia Tech-Atlanta * (A)
All Instructors
GPA: 3.73Most Common: A (74.5%)
This total includes data from semesters with unknown instructors