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CS231n: Deep Learning for Computer Vision
The course that taught a generation computer vision.
The course that taught a generation computer vision. Stanford's CS231n covers convolutional networks for visual recognition, from the basics of image classification through to current architectures, with lecture notes published openly.
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Course overview
Demanding and worth it. The notes alone are one of the best written resources in the field.
What you will learn
- Understand convolutional networks in depth rather than by analogy
- Build image classification and recognition systems
- Train deep networks and diagnose them when they fail
- Follow the architectural developments that shaped modern vision models
Who this course is for
Engineers going deep on vision
the canonical course
Anyone with the prerequisites
maths and Python assumed
Course details
FormatUniversity lecture course with public materials
LevelAdvanced
PriceFree
Time40 hours
CertificateNo certificate
About Stanford
Stanford publishes lecture notes, slides and assignments for several of its graduate AI courses. These are real university courses rather than introductions, and they assume the mathematics that comes with that.
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