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@@ -284,7 +284,6 @@ Recognition](http://nlp.stanford.edu/~socherr/pa4_ner.pdf) [zip](http://nlp.stan
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4. [Word2Vec](https://code.google.com/p/word2vec/)
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5. [Caffe DockerFile](https://github.com/tleyden/docker/tree/master/caffe)
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6. [TorontoDeepLEarning convnet](https://github.com/TorontoDeepLearning/convnet)
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-7. [Vision data sets](http://www.cs.cmu.edu/~cil/v-images.html)
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8. [gfx.js](https://github.com/clementfarabet/gfx.js)
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9. [Torch7 Cheat sheet](https://github.com/torch/torch7/wiki/Cheatsheet)
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10. [Misc from MIT's 'Advanced Natural Language Processing' course] (http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-864-advanced-natural-language-processing-fall-2005/)
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Christos