Catalogue · Faculty of Machine Learning
ML 310
Deep Learning for Computer Vision (CS231n)
Stanford’s CS231n, the course that taught the deep learning boom how deep learning works. Convolutional networks from first principles — you implement backpropagation yourself — through modern architectures, training practice, and vision transformers. Lecture notes and assignments are public and remain among the best-engineered teaching materials in the field.
Syllabus
- convolutional networks
- backpropagation
- training at scale
- vision transformers
- generative models
Held at Stanford University. The materials remain theirs; the structure is ours. Finished it? Record it in your transcript.