Course Schedule and Catalog
Course Schedule - Fall Semester 2025
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
ELEC 576 001 (CRN: 11118)
INTRODUCTION TO DEEP LEARNING
Long Title: A PRACTICAL INTRODUCTION TO DEEP MACHINE LEARNING
Department: Electrical & Computer Eng.
Instructors:
Meeting: 2:00PM - 4:30PM W (25-AUG-2025 - 5-DEC-2025)
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Language of Instruction: Taught in English
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
Course Materials: Rice Campus Store
Restrictions:
Must be enrolled in one of the following Level(s):
Graduate
Section Max Enrollment: 200
Section Enrolled: 12
Total Cross-list Max Enrollment: 200
Total Cross-list Enrolled: 65
Enrollment data as of: 20-APR-2025 2:52AM
Final Exam: GR Course-Dept Schedules Exam
Description: Deep Machine Learning has recently made many advances in difficult perceptual tasks, including object and phoneme recognition, and natural language processing. However, the field has a steep learning curve, both conceptually and practically. The point of this course is to engage students by jumping into the deep end, and building their own architectures and algorithms. Cross-list: COMP 576. Mutually Exclusive: Cannot register for ELEC 576 if student has credit for COMP 647.