Computer vision and OpenCV[edit | edit source]

Machine learning[edit | edit source]

Classic Texts[edit | edit source]

There are also a number of classical books for both topics:

  • Richard Szeliski. Computer Vision: Algorithms and Applications. Springer, 2010.

http://szeliski.org/Book/drafts/SzeliskiBook_20100903_draft.pdf

  • Gary Bradski and Adrian Kaehler. Learning OpenCV. O'Reilly, 2008.

https://www.bogotobogo.com/cplusplus/files/OReilly%20Learning%20OpenCV.pdf

  • Ian Goodfellow, Yoshua Bengio and Aaron Courville. Deep Learning. MIT Press, 2016.

https://github.com/janishar/mit-deep-learning-book-pdf

  • Christopher Bishop. Pattern recognition and machine learning. Springer, 2006.

https://www.microsoft.com/en-us/research/uploads/prod/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf

FA info icon.svgAngle down icon.svgPage data
Authors Joshua M. Pearce
License CC-BY-SA-3.0
Language English (en)
Related 0 subpages, 0 pages link here
Impact 236 page views
Created May 17, 2019 by Joshua M. Pearce
Modified April 14, 2023 by Felipe Schenone
Cookies help us deliver our services. By using our services, you agree to our use of cookies.