University of South Florida 3 credits ISM
This course aims to provide students with: state-of-the-art deep learning architectures such as RNN, CNN, GCN, autoencoders, training and learning strategies such as Deep Bayesian Learning, adversarial learning, transfer learning, and emerging topics in deep learning such as ethics, augmented intelligence. Lectures will focus on business applications and hands-on deep learning knowledge. Prerequisite: None Corequisite: None Co-Prerequisite(s): None USF Muma College of Business | School of Information Systems and Management Credit Hours: 3
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