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COSCĀ 6333. Deep Learning. 3 Hours.

Students examine the architectures, platforms, tools, trends, and research directions of deep learning. Topics may include the relevant algorithms, techniques, and methodologies of convolutional neural networks, recurrent neural networks, auto-encoders, generative adversarial networks, gated recurrent units, long short-term memory networks, deep reinforcement learning, and recent new deep learning architectures. Students get hands-on practices for analyzing real-world large data with deep learning open-sourced frameworks and software tools.
Prerequisite: Graduate Standing.