Deep Learning

Catalog description

An in-depth understanding of deep learning techniques and their applications. Topics include: neural networks, convolutional neural networks, recurrent neural networks, and deep learning frameworks such as TensorFlow and PyTorch. Prerequisite(s): DASC 4850 >=C Lecture Hours: 3 Repeatability: May not be repeated for credit. Grade Mode: N- Normal (A, B, C, D, F) Schedule Type (Primary): Lecture Schedule Type (Additional): Asynchronous Instruction Click here for the Schedule of Classes.