Neural Networks
University of Waterloo · ON · CS479
Neural Networks is a subject at University of Waterloo, ON in CS. It covers topics like deep-learning, machine-learning, neural-networks, neuroscience. It is part of 11 degrees. The information below is compiled from public course material — approximate, not official.
University of Waterloo
CS479
3.00
CS
Topics covered
Degrees that include Neural Networks
- Applied Mathematics (Bachelor of Mathematics - Honours)
- Applied Mathematics (Joint Honours)
- Applied Mathematics with Scientific Computing and Scientific Machine Learning (Bachelor of Mathematics - Honours)
- Artificial Intelligence Option
- Artificial Intelligence Specialization
- Artificial Intelligence Specialization
- Cognitive Science Minor
- Computational Mathematics (Bachelor of Mathematics - Honours)
- Computational Mathematics Minor
- Data Science (Bachelor of Mathematics - Honours)
- Software Engineering (Bachelor of Software Engineering - Honours)
Frequently asked questions
What is Neural Networks about?
Neural Networks covers topics like deep-learning, machine-learning, neural-networks, neuroscience.
Which degrees include Neural Networks?
Neural Networks is part of 11 degrees, including Applied Mathematics (Bachelor of Mathematics - Honours), Applied Mathematics (Joint Honours), Applied Mathematics with Scientific Computing and Scientific Machine Learning (Bachelor of Mathematics - Honours), Artificial Intelligence Option, Artificial Intelligence Specialization.
How many credit points is Neural Networks?
Neural Networks at University of Waterloo is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Neural Networks taught?
Neural Networks is taught at University of Waterloo, ON.
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Sources: University of Waterloo public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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