Stanford University · Course
Deep Learning Alchemy (CS312)
Deep Learning Alchemy (CS312) is a ten-week Stanford Online graduate course on mastering the empirical side of deep learning through many efficient experiments, rather than knowledge or maths alone.
Who it suits
- Experienced deep learning practitioners who want hands-on experimental mastery.
- Learners aiming to invent new architectures or develop broad theories of how deep learning works.
What it covers
- Working through computationally tractable domains to build experimental skill.
- Efficient experimentation and predicting experiment outcomes.
- Why there is no substitute for running many experiments.
Before you start
- Stanford lists a conferred bachelor’s degree with an undergraduate GPA of 3.0 or better.
- A background in machine learning and deep learning.
Common questions about Deep Learning Alchemy (CS312)
- How long is it?
- Stanford lists 10 weeks at 15 to 25 hours a week, for 5 units, with limited seats.
- Are there in-person requirements?
- Stanford says the weekly quizzes must be taken in person at your location.
- Is it open for enrolment?
- Stanford’s page said it was not open when we read it and showed it as offered in autumn; check the page.
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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.