SYSEN 5888

SYSEN 5888

Course information provided by the Courses of Study 2020-2021.

Covers the basic concepts, models, methods, and applications of deep learning. Topics include basics of artificial neural networks, training of neural networks, convolutional neural networks, recurrent neural networks, generative models, deep reinforcement learning, and deep learning hardware and software packages. Application and methodology topics include deep learning for pharmaceutical discovery, deep learning for process control, deep learning for molecular design, deep learning for material screening, deep learning for product yield and quality estimation, and deep learning for optimization.

When Offered Spring, Summer.

Prerequisites/Corequisites Prerequisite: SYSEN 6880 or SYSEN 5880.

View Enrollment Information

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 0 Credits

  • 20665SYSEN 5888  DIS 201

  • Instruction Mode: Online

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 0 Credits

  • 20666SYSEN 5888  DIS 202

  • Instruction Mode: Distance Learning-Asynchronous
    Enrollment limited to System distance learning students.