Jun 01, 2024  
2023-2024 Graduate Catalog & Student Handbook 
    
Catalog Navigation
  Catalog Home
  Accreditation
  Academic Calendars
  University Environment & Resources
  Academic Information
  Admission Information
  Financial Information
  Enrollment Information
  Student Rights and Responsibilities
  Student Support Services
  Office of Graduate Studies
  University Library
  Master of Science - Computer Science
  Master of Science - Data Science
  Master of Science - Engineering
  + Electrical & Computer Engineering Track
  + Mechanical Engineering Track
  Master of Science - Engineering Management
  Degree Program Tracks & Pathways
  Advising Procedures
  Thesis Timeline and Procedures
  Thesis Format Manual
  Graduate Assistantships
  Internships
  4+1 Master of Science Program
  Classification of Instructional Programs
  Course Descriptions
  Distance Learning and State Reciprocity
  Statewide Course Numbering
  Faculty, Staff, and Administration
  Foundation Board
  My Portfolio
HELP
2023-2024 Graduate Catalog & Student Handbook
Facebook this Page (opens a new window)
Tweet this Page (opens a new window)
Add to Portfolio (opens a new window)

CAP 4613 - Applied Deep Learning

Credits: 3

Course Description: The course introduces the students to the fundamentals of deep learning. Students will learn to extract layered high-level representations of data by applying deep learning algorithms.
Prerequisites: COP 4415 - Data Structures  and COP 4531 - Algorithm Design & Analysis  


Facebook this Page (opens a new window)
Tweet this Page (opens a new window)
Add to Portfolio (opens a new window)