Khue

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About Khue

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  1. Neural Machine Translation (seq2seq) Tutorial https://t.co/FqQnEeMnx8

  2. @rfmarini Merci, Rafael :D

  3. @ebelilov Rather at FAIR Paris? :p

  4. @ovh_support_fr @ovh_fr C'est parfait. Merci beaucoup ! Y a-t-il un guide pour fusionner les partitions après la mise à niveau SVP ?

  5. @hardmaru It is currently faster than MathJax, and that’s all. @MathJax supports a larger set of commands/environme… https://t.co/RqEDgcLLTW

  6. @TheraPanacea @Paris_and_Co @jlmissika @Anne_Hidalgo @SanofiFR @Paris @centralesupelec @UnivParisSaclay @Inria… https://t.co/88ogjsskg4

  7. @francefootball Belle vidéo des buts de @Cristiano lors de la cérémonie. Mais une chose: aucun but contre la Barça… https://t.co/HuFqp9Offj

  8. Reinforcement Learning: An Introduction, by Richard S. Sutton and Andrew G. Barto Complete draft of the 2nd edition: https://t.co/ZDlOSZOdOw

  9. RT @karpathy: Google released NASNet in TF a ~week ago, which is exciting https://t.co/cwXKDVzriP the code is a bit difficult to parse but…

  10. Nice blog post about mixup, a recent data augmentation technique for neural networks. https://t.co/D6cI26Yk6P

  11. RT @AgoniGrammi: ~3,500 participants at @ICCV2017 #venice x2 of attendees compared to ICCV15! #computervision is very hot! top 4: #usa #chi…

  12. RT @rrwilliams: Norbert Blum posts details on the mistake in his P != NP claim. https://t.co/jF7LQhMEEf

  13. RT @soumithchintala: NVIDIA releases an open-source Deep Learning Inference chip design (based on Xavier), with full verilog source: https:…

  14. Common things you might have done wrong in your neural networks: https://t.co/mwGu3yVq4F

  15. Thrilled to see a boost in performance of @PyTorch in the upcoming months! https://t.co/KutDWs0PDb