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    Oct 12, 2024  
2024/25 UM UMM Undergraduate Catalog 
    
2024/25 UM UMM Undergraduate Catalog
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ECE 491 - Deep Learning


This course is an introduction to deep learning, a branch of machine learning concerned with the development and application of deep artificial neural networks.  Topics include convolution neural networks, recurrent neural networks, and their applications for various engineering and scientific problems.  Students should know at least one high-level programming language. This course will use Python and give tutorials on Python programming.  Students will gain hands-on experiences of developing, training, and evaluating deep learning models to solve sophisticated problems.

 

ECE 491 and ECE 591 cannot both be taken for credit.

Core Curriculum/Core Requirements:

Prerequisites: ECE 177 or COS 220 or CIE 115 or MEE 125 or permission

Course Typically Offered: Fall, Alternating years

Credits: 3



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