- Schedule of Classes - February 11, 2021 7:14PM EST
- Course Catalog - June 28, 2020 7:15PM EDT
Course information provided by the Courses of Study 2019-2020.
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 Summer.
Prerequisites/Corequisites Prerequisite: CHEME 6880/SYSEN 6880 or SYSEN 5880.
Eight Week Summer.
Credits and Grading Basis
3-4 Credits Graded(Letter grades only)
Class Number & Section Details
- Jun 8 - Jul 31, 2020
Instruction Mode: Distance Learning-Asynchronous
This Summer Session class is offered by the School of Continuing Education and Summer Sessions. For details visit http://www.sce.cornell.edu/ss/courses/courses.php?v=3309
Disabled for this roster.