Difference between revisions of "Daylen Yang"

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'''Daylen Yang''',<br/>
 
'''Daylen Yang''',<br/>
an American electrical engineer,  in 2017 graduated from [[University of California, Berkeley]], where he worked and published on visual and textual representations if the field of [[Learning|machine learning]], such as visualizing [[Neural Networks#Residual|residual neural network]] <ref>[https://dblp.org/pers/hd/c/Chu:Brian Brian Chu], [[Daylen Yang]], [https://dblp.org/pers/hd/t/Tadinada:Ravi Ravi Tadinada] ('''2017'''). ''Visualizing Residual Networks''. [https://arxiv.org/abs/1701.02362 arXiv:1701.02362]</ref>.
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an American electrical engineer,  in 2017 graduated from [[University of California, Berkeley]], where he worked and published on visual and textual representations in the field of [[Learning|machine learning]], such as visualizing [[Neural Networks#Residual|residual neural networks]] <ref>[https://dblp.org/pers/hd/c/Chu:Brian Brian Chu], [[Daylen Yang]], [https://dblp.org/pers/hd/t/Tadinada:Ravi Ravi Tadinada] ('''2017'''). ''Visualizing Residual Networks''. [https://arxiv.org/abs/1701.02362 arXiv:1701.02362]</ref>.
  
 
=Stockfish=
 
=Stockfish=

Revision as of 16:28, 1 July 2018

Home * People * Daylen Yang

Daylen Yang [1]

Daylen Yang,
an American electrical engineer, in 2017 graduated from University of California, Berkeley, where he worked and published on visual and textual representations in the field of machine learning, such as visualizing residual neural networks [2].

Stockfish

Since 2010, Daylen Yang is member of the Stockfish team [3], where he is application author of Stockfish for Mac, and author of the Stockfish website [4]. In June 2015, he talked on How do modern chess engines work at the TNG Big Techday 8 conference in Munich [5].

Selected Publications

[6]

Forum Posts

External Links

References

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