Christos 10 years ago
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README.md

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 Recognition](http://nlp.stanford.edu/~socherr/pa4_ner.pdf) [zip](http://nlp.stanford.edu/~socherr/pa4-ner.zip)
 6. [Training tricks by YB](http://www.iro.umontreal.ca/~bengioy/papers/YB-tricks.pdf)
 7. [Geoff Hinton's reading list (all papers)] (http://www.cs.toronto.edu/~hinton/deeprefs.html)
+8. [Supervised Sequence Labelling with Recurrent Neural Networks](http://www.cs.toronto.edu/~graves/preprint.pdf)
+9.  [Statistical Language Models based on Neural Networks](http://www.fit.vutbr.cz/~imikolov/rnnlm/thesis.pdf)
+10.  [Training Recurrent Neural Networks](http://www.cs.utoronto.ca/~ilya/pubs/ilya_sutskever_phd_thesis.pdf)
+11.  [Recursive Deep Learning for Natural Language Processing and Computer Vision](http://nlp.stanford.edu/~socherr/thesis.pdf)
+12.  Bi-directional RNN [(http://www.di.ufpe.br/~fnj/RNA/bibliografia/BRNN.pdf)]
+13.  LSTM [(http://web.eecs.utk.edu/~itamar/courses/ECE-692/Bobby_paper1.pdf)]
+14.  GRU (Gated Recurrent Unit) [[Paper](http://arxiv.org/pdf/1406.1078v3.pdf)]
+15.  GFRNN [(http://arxiv.org/pdf/1502.02367v3.pdf)] [.](http://jmlr.org/proceedings/papers/v37/chung15.pdf) [.](http://jmlr.org/proceedings/papers/v37/chung15-supp.pdf)
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 ### Tutorials
 
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 ### WebSites
 
 1.  [deeplearning.net](http://deeplearning.net/)
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 6.  [Flickr Data](http://yahoolabs.tumblr.com/post/89783581601/one-hundred-million-creative-commons-flickr-images) 100 Million Yahoo dataset
 7.  [Berkeley Segmentation Dataset 500](http://www.eecs.berkeley.edu/Research/Projects/CS/vision/bsds/)
 8.  [UC Irvine Machine Learning Repository](http://archive.ics.uci.edu/ml/)
+9.  [Flickr 8k](http://nlp.cs.illinois.edu/HockenmaierGroup/Framing_Image_Description/KCCA.html)
+10. [Flickr 30k](http://shannon.cs.illinois.edu/DenotationGraph/)
+11. [Microsoft COCO](http://mscoco.org/home/)
+12. [VQA](http://www.visualqa.org/)
+13. [Image QA](http://www.cs.toronto.edu/~mren/imageqa/data/cocoqa/)
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 ### Frameworks