Deep Learning
University of York · England · COM00049H
Deep Learning is a subject at University of York, England. It covers topics like deep-learning, digital-learning, machine-learning, neural-networks. It is part of 20 degrees. The information below is compiled from public course material — approximate, not official.
University of York
COM00049H
3.00
Topics covered
Degrees that include Deep Learning
- Computer Science
- Computer Science
- Computer Science/Mathematics (Equal)
- Computer Science/Mathematics (Equal) (with a year in industry)
- Computer Science with Artificial Intelligence
- Computer Science with Artificial Intelligence
- Computer Science with Artificial Intelligence (with a year in industry)
- Computer Science with Artificial Intelligence (with year in industry)
- Computer Science (with a year in industry)
- Computer Science (with a year in industry)
- Computer Science with Cyber Security
- Computer Science with Cyber Security
- Computer Science with Cyber Security (with a year in industry)
- Computer Science with Cyber Security (with a year in industry)
- Data Science
- Data Science
- Data Science (with a year in industry)
- Data Science (with a year in industry)
- Mathematics/Computer Science (Equal)
- Mathematics/Computer Science (Equal) (with a year in industry)
Frequently asked questions
What is Deep Learning about?
Deep Learning covers topics like deep-learning, digital-learning, machine-learning, neural-networks.
Which degrees include Deep Learning?
Deep Learning is part of 20 degrees, including Computer Science, Computer Science, Computer Science/Mathematics (Equal), Computer Science/Mathematics (Equal) (with a year in industry), Computer Science with Artificial Intelligence.
How many credit points is Deep Learning?
Deep Learning at University of York is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Deep Learning taught?
Deep Learning is taught at University of York, England.
Studying Deep Learning?
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Sources: University of York public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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