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Graduate Certificate in Deep Learning
Information about the credit-bearing, degree-leading graduate certificate in Deep Learning offered through UTA's Computer Science and Engineering Department
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.