CS231n cheatsheet

Data-driven approach, Nearest Neighbours, Linear Classification

Slides: http://cs231n.stanford.edu/slides/winter1516_lecture2.pdf

• How does the data-driven approach work?
• What is a nearest neighbour classifier?
• What is kNN?
• Give examples for a distance metric
• What is a hyperparameter?
• What data sets are used in a model?
• What are folds for?
• What is cross-validation?
• What is the accuracy of a model?
• What is LDA?

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License

Authors

• Tim Nieradzik