AAI612O Deep Learning & its Applications

[3–0, 3 cr.]

This course covers principles of deep learning and in  its applications. Students will learn how to build and use different kinds of deep neural networks. The following topics will be covered with a hands-on approach: feedforward networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), long short-term memory (LSTMs), and gated recurrent units (GRUs).  The course will include hands-on applications covering natural language processing,  behavioral analysis, and anomalies detection.