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deeplearning2017:final [2017/05/10 17:31]
jake
deeplearning2017:final [2017/05/10 17:31]
jake
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 ===== Paper list (recommend to read) ===== ===== Paper list (recommend to read) =====
 ** [[https://​pdfs.semanticscholar.org/​d3f5/​87797f95e1864c54b80bc98e957da6746e27.pdf|GradientBased Learning Applied to Document Recognition]] ** (just the first part of this paper)\\ ** [[https://​pdfs.semanticscholar.org/​d3f5/​87797f95e1864c54b80bc98e957da6746e27.pdf|GradientBased Learning Applied to Document Recognition]] ** (just the first part of this paper)\\
-** [[http://​yann.lecun.com/​exdb/​publis/​pdf/​lecun-98b.pdf|Efficient Backprop]] **  +** [[http://​yann.lecun.com/​exdb/​publis/​pdf/​lecun-98b.pdf|Efficient Backprop]] **  ​\\ 
-** [[http://​yann.lecun.com/​exdb/​publis/​pdf/​lecun-06.pdf|A Tutorial on Energy-Based Learning]] **  +** [[http://​yann.lecun.com/​exdb/​publis/​pdf/​lecun-06.pdf|A Tutorial on Energy-Based Learning]] **  ​\\ 
-** [[http://​yann.lecun.com/​exdb/​publis/​pdf/​gregor-icml-10.pdf|Learning Fast Approximations of Sparse Coding]] ** +** [[http://​yann.lecun.com/​exdb/​publis/​pdf/​gregor-icml-10.pdf|Learning Fast Approximations of Sparse Coding]] ** \\ 
 ** [[https://​arxiv.org/​abs/​1406.2661|GAN]] **  ** [[https://​arxiv.org/​abs/​1406.2661|GAN]] ** 
  
 
 
/srv/www/cilvr/htdocs/data/pages/deeplearning2017/final.txt · Last modified: 2017/05/10 17:32 by jake
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