Select the Course Number to get further detail on the course. Select the desired Schedule Type to find available classes for the course. |
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 Course Attributes: Artific. Intel.& Data Science |