AIDA.3221 Deep Learning
Id: 042974 Credits: 3-3Description
This course introduces the foundations of deep learning and its application to real-world and data-intensive problems at scale using existing frameworks such as PyTorch. Students will learn the mathematical and algorithmic foundations of deep learning and gain hands-on experience in building, training, and evaluating deep neural networks. The course guides students on application-level programming, tool-based implementation and use of deep learning in decision-making, prediction, and representation learning in real-world contexts.
Prerequisites
AIDA.2205 Machine Learning.
Course prerequisites/corequisites are determined by the faculty and approved by the curriculum committees. Students are required to fulfill these requirements prior to enrollment. For courses offered through online or GPS delivery, students are responsible for confirming with the instructor or department that all enrollment requirements have been satisfied before registering.