INFS 778 - Deep Learning

3 credits

This course introduces the basic concepts and applications of deep learning. Representative deep learning models such as Deep Neural Networks, Convolutional Neural Networks, and Recurrent Neural Networks (LSTM) will be covered in detail. Popular Python deep learning libraries will be introduced. The course also includes discussions on advanced topics such as transfer learning, hyperparameter tuning, regularization, optimization of DNNs, and others. Prerequisite(s): INFS 768 and INFS 772

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INFS 778 - Deep Learning