ITM 643 - Deep Learning for AI (3 )

GR

This course introduces deep learning techniques with a focus on neural networks and their applications. Students will explore the fundamentals of deep learning, including training and evaluating models using TensorFlow and Keras. Topics covered include convolutional neural networks, recurrent neural networks, and generative models, with real-world examples in image and text processing. By the end of the course, students will be able to build and optimize deep learning models to solve complex problems in various domains.
PRE-REQ REQ or RECOMMENDED: Prerequisites: Python programming skill is a required prerequisite for this course. To satisfy this requirement, a student may take MDS 600 and MDS 630, or CSC 111 Programming Fundamentals, or transfer in an equivalent course showing Python mastery. Documented non-academic Python training will be considered on a case-by-case basis.

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