My understanding of the Manifold Hypothesis | Machine learning
If you think I've misunderstood something, do let me know in the comments. Below are all the blogs/papers/videos I've referred to.
Blogs:
https://en.wikipedia.org/wiki/Hypercube
https://computervisionblog.wordpress.com/2012/04/05/viewing-computer-vision-from-a-bigger-picture/
https://computervisionblog.wordpress.com/2013/09/29/paper-talk-untangling-invariant-object-recognition/
https://prateekvjoshi.com/2014/06/21/what-is-manifold-learning/
https://medium.com/artists-and-machine-intelligence/a-journey-through-multiple-dimensions-and-transformations-in-space-the-final-frontier-d8435d81ca51
http://colah.github.io/posts/2014-03-NN-Manifolds-Topology/
http://bjlkeng.github.io/posts/manifolds/
Lectures:
https://www.youtube.com/watch?v=oID20dIrV94&list=PLiPvV5TNogxKKwvKb1RKwkq2hm7ZvpHz0&index=2
https://www.youtube.com/watch?v=Yr1mOzC93xs
http://videolectures.net/mlss09us_niyogi_belkin_gmml/
http://videolectures.net/deeplearning2015_vincent_autoencoders/
Papers:
http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w10/Shao_The_Riemannian_Geometry_CVPR_2018_paper.pdf
http://openscholarship.wustl.edu/cgi/viewcontent.cgi?article=1207&context=cse_research
https://arxiv.org/abs/1609.03552
http://www.lcayton.com/resexam.pdf
Videos and GAN implementations:
https://www.youtube.com/watch?v=QCSW4isBDL0
https://www.youtube.com/watch?v=YY6LrQSxIbc
https://www.youtube.com/watch?v=uoftpl3Bj6w
https://www.youtube.com/watch?v=4spmAO1JIfc
https://www.youtube.com/watch?v=2a3U4oHuvlE
Music:
Sérénade à Notre Dame de Paris by Amarià https://soundcloud.com/amariamusique
Creative Commons — Attribution 3.0 Unported — CC BY 3.0
Free Download / Stream: http://bit.ly/2vkP2eN
Music promoted by Audio Library https://youtu.be/HQH4vDELAFU
A New Year by Scott Buckley https://soundcloud.com/scottbuckley
Creative Commons — Attribution 3.0 Unported — CC BY 3.0
Free Download / Stream: https://bit.ly/_a-new-year
Music promoted by Audio Library https://youtu.be/FrLsadzQ2qc
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Видео My understanding of the Manifold Hypothesis | Machine learning канала Kartik C
Blogs:
https://en.wikipedia.org/wiki/Hypercube
https://computervisionblog.wordpress.com/2012/04/05/viewing-computer-vision-from-a-bigger-picture/
https://computervisionblog.wordpress.com/2013/09/29/paper-talk-untangling-invariant-object-recognition/
https://prateekvjoshi.com/2014/06/21/what-is-manifold-learning/
https://medium.com/artists-and-machine-intelligence/a-journey-through-multiple-dimensions-and-transformations-in-space-the-final-frontier-d8435d81ca51
http://colah.github.io/posts/2014-03-NN-Manifolds-Topology/
http://bjlkeng.github.io/posts/manifolds/
Lectures:
https://www.youtube.com/watch?v=oID20dIrV94&list=PLiPvV5TNogxKKwvKb1RKwkq2hm7ZvpHz0&index=2
https://www.youtube.com/watch?v=Yr1mOzC93xs
http://videolectures.net/mlss09us_niyogi_belkin_gmml/
http://videolectures.net/deeplearning2015_vincent_autoencoders/
Papers:
http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w10/Shao_The_Riemannian_Geometry_CVPR_2018_paper.pdf
http://openscholarship.wustl.edu/cgi/viewcontent.cgi?article=1207&context=cse_research
https://arxiv.org/abs/1609.03552
http://www.lcayton.com/resexam.pdf
Videos and GAN implementations:
https://www.youtube.com/watch?v=QCSW4isBDL0
https://www.youtube.com/watch?v=YY6LrQSxIbc
https://www.youtube.com/watch?v=uoftpl3Bj6w
https://www.youtube.com/watch?v=4spmAO1JIfc
https://www.youtube.com/watch?v=2a3U4oHuvlE
Music:
Sérénade à Notre Dame de Paris by Amarià https://soundcloud.com/amariamusique
Creative Commons — Attribution 3.0 Unported — CC BY 3.0
Free Download / Stream: http://bit.ly/2vkP2eN
Music promoted by Audio Library https://youtu.be/HQH4vDELAFU
A New Year by Scott Buckley https://soundcloud.com/scottbuckley
Creative Commons — Attribution 3.0 Unported — CC BY 3.0
Free Download / Stream: https://bit.ly/_a-new-year
Music promoted by Audio Library https://youtu.be/FrLsadzQ2qc
I love coffee! Consider supporting:
https://www.buymeacoffee.com/karti
Видео My understanding of the Manifold Hypothesis | Machine learning канала Kartik C
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