SYSEN 5888 - Deep Learning

Spring, Summer. 3 or 4 credits, variable. Letter grades only.

Prerequisite: SYSEN 6880 or SYSEN 5880.

F. You.

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.