Ali Ghodsi, Lec 15: t-SNE

[@leeris19]

It's been a journey. Thank you for everything!

[@BinuJasim]

t-SNE starts at 15:50

[@argha-qi5hf]

King.

[@naveed7614]

Thank you very much Professor. Hope you have lectures to post for this year as well. Thank you for the help.

[@royal011]

Great job professor! Thanks for the clear explanation of t-SNE!

[@bghojogh]

See our tutorial paper on SNE and t-SNE, coauthored by Prof. Ali Ghodsi: Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, and Mark Crowley. "Stochastic Neighbor Embedding with Gaussian and Student-t Distributions: Tutorial and Survey." arXiv preprint arXiv:2009.10301 (2020). Link of paper: arxiv.org/abs/2009.10301 Link of code of this paper: github.com/bghojogh/SNE-tSNE

[@ehfo]

thanks didn't know a vid on t-SNE .. Is there a vid on Adam optimizer?

[@sidagarwal43]

He is a legend.

[@AngeloYeo]

Thank you so much for uploading :)

[@yeungramon2587]

Thank you.

[@rebeenali917]

thank you

[@siddharthsvnit]

50:36 that is why you need to understand problem first