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May 07, 2021
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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

Levels: Undergraduate
Schedule Types: Lecture

Computer Science & Mathematics Department

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