Deep Learning

Catalog description

This course provides students with a comprehensive understanding of deep learning methodologies and their practical applications. The curriculum covers a range of topics, including in-depth explorations of various deep neural network architectures, their underlying computations, and the skills needed to construct and train deep neural networks. Students will also gain hands-on experience in implementing deep learning models for diverse tasks and discuss ethics in machine learning systems.