COM 583 - Applied AI and Deep Learning

3 credit hours

 
Deep learning is a sub-field of machine learning that focuses on learning complex, hierarchical feature representations from raw data. In this course, students will learn the fundamental principles and implementation details of deep learning. This includes the concepts and methods used to optimize these highly parameterized models, the modules that make them up, and common neural network architectures (convolutional neural networks, recurrent neural networks, etc.).