Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
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Updated the links for files numbered 3, 22, 28, 32, 39, 52, 53, 54, 55, 60, 61 #157
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akshat-shethia opened 2 months ago
Thank you once again for this wonderful repository 😄
I've replaced the broken links with updated ones for the files mentioned above. Below are the newly added links for easy reference:
3 https://www.cs.toronto.edu/~hinton/absps/science.pdf 22 https://proceedings.mlr.press/v28/sutskever13.pdf 28 https://arxiv.org/pdf/1112.6209 32 https://arxiv.org/pdf/1502.04623 39 https://arxiv.org/pdf/1506.05869 52 https://arxiv.org/pdf/1502.05477 53 https://www.davidsilver.uk/wp-content/uploads/2020/03/unformatted_final_mastering_go.pdf 54 https://proceedings.mlr.press/v27/bengio12a/bengio12a.pdf 55 https://axon.cs.byu.edu/~martinez/classes/678/Presentations/Martin.pdf 60 https://www.cs.cmu.edu/~rsalakhu/papers/LakeEtAl2015Science.pdf 61 https://www.cs.cmu.edu/~rsalakhu/papers/oneshot1.pdf
Cheers