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Title: No title

X Title: Machine Learning @ VU

X Description: Course materials from the Machine Learning course of the Vrije Universiteit Amsterdam.

X: @pbloemesquire

direct link

Domain: dlvu.github.io

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twitter:imagehttps://www.vu.nl/nl/Images/VUlogo_NL_530px_tcm289-201740.png

Links:

Homehttps://dlvu.github.io/
Neural networkshttps://dlvu.github.io/introduction#video-000
Classification and regressionhttps://dlvu.github.io/introduction#video-020
Autoencodershttps://dlvu.github.io/introduction#video-034
PDFhttps://dlvu.github.io/pdfs/lecture01.introduction.annotated.pdf
link herehttps://dlvu.github.io/introduction#video-0
videohttps://pbm.thegood.cloud/s/nJDM4XdFDmxLwSy/download/11%20neural%20networks.mp4
link herehttps://dlvu.github.io/introduction#slide-001
link herehttps://dlvu.github.io/introduction#slide-002
link herehttps://dlvu.github.io/introduction#slide-003
link herehttps://dlvu.github.io/introduction#slide-004
link herehttps://dlvu.github.io/introduction#slide-005
link herehttps://dlvu.github.io/introduction#slide-006
link herehttps://dlvu.github.io/introduction#slide-007
link herehttps://dlvu.github.io/introduction#slide-008
link herehttps://dlvu.github.io/introduction#slide-009
link herehttps://dlvu.github.io/introduction#slide-010
link herehttps://dlvu.github.io/introduction#slide-011
link herehttps://dlvu.github.io/introduction#slide-012
link herehttps://dlvu.github.io/introduction#slide-013
link herehttps://dlvu.github.io/introduction#slide-014
See these slides for a place to start.https://mlvu.github.io/preliminaries/#slide-058
link herehttps://dlvu.github.io/introduction#slide-015
link herehttps://dlvu.github.io/introduction#slide-016
link herehttps://dlvu.github.io/introduction#slide-017
link herehttps://dlvu.github.io/introduction#slide-018
link herehttps://dlvu.github.io/introduction#slide-019
link herehttps://dlvu.github.io/introduction#slide-020
link herehttps://dlvu.github.io/introduction#video-20
videohttps://pbm.thegood.cloud/s/9CcXkqw23ACsMPb/download/12%20classification%20and%20regression.mp4
link herehttps://dlvu.github.io/introduction#slide-021
link herehttps://dlvu.github.io/introduction#slide-022
link herehttps://dlvu.github.io/introduction#slide-023
this lecturehttps://mlvu.github.io/lecture04/#video-067
link herehttps://dlvu.github.io/introduction#slide-024
link herehttps://dlvu.github.io/introduction#slide-025
link herehttps://dlvu.github.io/introduction#slide-026
link herehttps://dlvu.github.io/introduction#slide-027
link herehttps://dlvu.github.io/introduction#slide-028
this lecturehttps://mlvu.github.io/lecture04/#video-067
link herehttps://dlvu.github.io/introduction#slide-029
link herehttps://dlvu.github.io/introduction#slide-030
link herehttps://dlvu.github.io/introduction#slide-031
link herehttps://dlvu.github.io/introduction#slide-032
link herehttps://dlvu.github.io/introduction#slide-033
link herehttps://dlvu.github.io/introduction#slide-034
link herehttps://dlvu.github.io/introduction#video-34
videohttps://pbm.thegood.cloud/s/ZnZLLe7mfq2aW2B/download/13%20autoencoders.mp4
link herehttps://dlvu.github.io/introduction#slide-035
link herehttps://dlvu.github.io/introduction#slide-036
link herehttps://dlvu.github.io/introduction#slide-037
Geoff Hintonhttp://jeffclune.com/courses/media/courses/2016-Fall-AI/lectures/L24-AI-2016.pdf
link herehttps://dlvu.github.io/introduction#slide-038
FFHQ datasethttps://github.com/NVlabs/ffhq-dataset
link herehttps://dlvu.github.io/introduction#slide-039
link herehttps://dlvu.github.io/introduction#slide-040
link herehttps://dlvu.github.io/introduction#slide-041
link herehttps://dlvu.github.io/introduction#slide-042
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link herehttps://dlvu.github.io/introduction#slide-044
link herehttps://dlvu.github.io/introduction#slide-045
link herehttps://dlvu.github.io/introduction#slide-046
https://blogs.nvidia.com/blog/2016/12/23/ai-flips-kanye-wests-frown-upside-down/https://blogs.nvidia.com/blog/2016/12/23/ai-flips-kanye-wests-frown-upside-down/
link herehttps://dlvu.github.io/introduction#slide-047
link herehttps://dlvu.github.io/introduction#slide-048
link herehttps://dlvu.github.io/introduction#slide-049
link herehttps://dlvu.github.io/introduction#slide-050
link herehttps://dlvu.github.io/introduction#slide-051
link herehttps://dlvu.github.io/introduction#slide-052

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