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Apr 28, 2024
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CS 4963 - Deep Learning and Neural Networks1 lecture hours 0 lab hours 1 credits
Course Description
This course serves as an introduction to the terminology and capabilities of deep learning and neural networks. The course covers fundamentals of deep learning and how it relates to machine learning. (prereq: CS 4962 )
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
- Describe the fundamentals of deep learning and how it relates to machine learning
- Experiment with example data to explore the capabilities of deep learning and neural networks
- Describe industry examples where deep learning and neural networks can be used to solve real world problems
Prerequisites by Topic
- Basic Python programming
- Familiarity with Jupyter Notebooks
- Familiarity with machine learning tools and basics
Course Topics
- Fundamentals of deep learning and neural networks
- Training parameters
- Network structure
- Capabilities and limitations of deep learning and neural networks
Coordinator
Dr. Jonathon Magaña
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