Stanford University · Course
Deep Learning for Computer Vision (XCS231N)
Deep Learning for Computer Vision (XCS231N) is a Stanford Online professional course, the professional version of CS231N, on visual recognition with neural networks, behind facial recognition, medical diagnostics and autonomous vehicles. It is taken online with live elements and leads to a Certificate of Achievement.
Who it suits
- Working engineers who want a Stanford course without applying to a graduate programme.
- Learners building toward the Artificial Intelligence Professional Program.
What it covers
- Neural-network methods for visual recognition.
- Implementing, training and debugging your own networks.
- Applications from facial recognition to medical diagnostics and drones.
Common questions about Deep Learning for Computer Vision (XCS231N)
- How much time does it take?
- Stanford lists 10 to 15 hours a week, with course materials available for 90 days after the course ends.
- What do I get at the end?
- A Certificate of Achievement; Stanford says you need to complete the required assignments and score 70% or higher.
- Can I enrol any time?
- Enrolment is only open during set periods, so check the page for the current dates and whether the course is open.
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Where this comes from
Written from Stanford University’s own pages, read on 2026-10-14. Content, prices and availability change, so the provider’s page is the source. We are not affiliated with Stanford University and this is not an endorsement.