CS 465 - 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.

Prerequisite(s): CS 310 with a C or better and admission to BS CS program, or instructor’s permission

Course Outcomes

Identify real-world problems suitable for deep learning.
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.

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