CS465 — Deep Learning
5 CR This course is an introduction to the deep learning technologies in artificial intelligence. It explains the theoretical background of neural networks and provides hands-on experience of using popular open-source tools such as Keras and TensorFlow to build deep learning models. Use the various optimization techniques in neural networks. Explain the difference between various types of neural networks. Determine which neural network is best for a specific problem. Use popular open-source tools to train and inference neural network models. GenEd
Prerequisites: CS310, CS460