Deep Learning
University of Exeter · England · COMM113
Deep Learning is a subject at University of Exeter, England. It covers topics like deep-learning, digital-learning, machine-learning, neural-networks. It is part of 7 degrees. The information below is compiled from public course material — approximate, not official.
University of Exeter
COMM113
15.00
Topics covered
Degrees that include Deep Learning
- MSc Advanced Computer Science
- MSc Advanced Computer Science with Business
- MSc Advanced Data Science
- MSci Artificial Intelligence
- MSci Computer Science
- MSci Computer Science and Mathematics
- MSci Data Science
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 7 degrees, including MSc Advanced Computer Science, MSc Advanced Computer Science with Business, MSc Advanced Data Science, MSci Artificial Intelligence, MSci Computer Science.
How many credit points is Deep Learning?
Deep Learning at University of Exeter is typically around 15.00 credit points. Approximate — confirm with the university.
Where is Deep Learning taught?
Deep Learning is taught at University of Exeter, England.
Studying Deep Learning?
Peernovo helps students research, choose and thrive at university — across Australia, the US, the UK and Canada — powered by our AI backbone:
- Explore & compare degrees — across universities and countries with honest, specific information.
- "What Can I Be?" career guidance — an AI pathway councillor that maps degrees to careers.
- See who's studying — your degree at your university — find classmates and study groups.
- AI Task Coach — a Socratic study companion that plans your work around your life.
- Honours & Thesis Research Coach — structure and move your research project forward.
- Smart study planner, exam prep and a daily digest — to keep you on track.
Sources: University of Exeter public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
Something not right on this page, or want it changed? Let us know and we'll review it.