Graduate Certificate in Deep Learning

Our credit-bearing, degree-leading Deep Learning certificate is intended to give those who successfully complete it:

• An ability to understand fundamental concepts of deep learning, such as matrix computation, classification, regression, unsupervised learning, semi-supervised learning and supervised learning
• In depth knowledge of Convolution Neural Networks, Recurrent Neural Networks, Long Short-term Memory, Batch Normalization, Dropout, Stochastic Gradient Descent, Attention Networks, and Transformer
• An ability to apply this knowledge to subject areas, such as image processing, text mining, speech recognition, health informatics and bioinformatics, and social networks data

This certificate is managed by:

• Dr. Junzhou Huang, administrator, Associate Professor
• Dr. Vassilis Athitsos, co-administrator, Professor
• Dr. Bahram Khalili, Associate Professor of Instruction and Graduate Advisor

All completed certificate coursework can be applied towards an MS or PhD degree.

Graduate Certificates in the Catalog