Practical Deep Learning Systems.

Catalog description

This course focuses on the practical implementation of deep learning systems, providing students with hands-on experience in designing, building, and optimizing machine learning (ML) and deep learning applications. Students will learn the foundational concepts of machine learning systems, gaining insights into the end-to-end process of developing a machine learning application. The course will cover essential techniques and tools for implementing modern deep learning algorithms across key areas such as computer vision, natural language processing, graph analysis, reinforcement learning, and generative models.