COMP.5530 Deep Learning

Id: 008177 Credits: 3-3

Description

This course focuses on the deep learning theory, algorithms, systems, and applications. Topics to be covered in this course include math and machine learning basics for Deep Learning, foundations of Deep Learning, Convolutional neural networks, Recurrent neural networks, Deep reinforcement learning, and practical methodology.

Prerequisites

COMP.3080 Operating Systems, and COMP.4040 Analysis of Algorithms, and COMP.4220 Machine Learning.

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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.