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|CSC 462 - Fund. of Deep Learning|
This course presents an introduction to deep learning and its applications. Topics include introduction to neural networks, regularization, convolution neural networks, auto-encoders, recurrent neural networks, long short-term memory networks, generative adversarial networks, and reinforcement learning. An applied approach will be used, where students get hands-on exposure to AI techniques through the use of state-of-the-art machine learning software frameworks.
3.000 Credit hours
3.000 Lecture hours
Schedule Types: Lecture
Computer Science & Mathematics Department