DSC 428 - Deep Learning

(Formerly DSC 410.) At least junior standing. (4)

Study of fundamental principles, mathematical foundations, and implementations of deep learning. Topics include methods such as gradient descent and backpropagation used to optimize models; model types such as linear, pooling and convolutional layers; and common neural network architectures, with applications from computer vision to natural language processing. Graded ABCDE