Update README.md

README.md

@@ -111,16 +111,15 @@ Recognition](http://nlp.stanford.edu/~socherr/pa4_ner.pdf) [zip](http://nlp.stan
 5.  [Caffe DockerFile](https://registry.hub.docker.com/u/tleyden5iwx/caffe/)
 6.  [TorontoDeepLEarning convnet](https://github.com/TorontoDeepLearning/convnet)
 7.  [Vision data sets](http://www.cs.cmu.edu/~cil/v-images.html)
-8.  [Fantastic Torch Tutorial](http://code.cogbits.com/wiki/doku.php)
-9.  [gfx.js](https://github.com/clementfarabet/gfx.js)
-10. [Torch7 Cheat sheet](https://github.com/torch/torch7/wiki/Cheatsheet)
-11. [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/)
-12. [Misc from MIT's 'Machine Learning' course](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-867-machine-learning-fall-2006/lecture-notes/)
-13. [Misc from MIT's 'Networks for Learning: Regression and Classification' course](http://ocw.mit.edu/courses/brain-and-cognitive-sciences/9-520-a-networks-for-learning-regression-and-classification-spring-2001/)
-14. [Misc from MIT's 'Neural Coding and Perception of Sound' course](http://ocw.mit.edu/courses/health-sciences-and-technology/hst-723j-neural-coding-and-perception-of-sound-spring-2005/index.htm)
-15. [Implementing a Distributed Deep Learning Network over Spark](http://www.datasciencecentral.com/profiles/blogs/implementing-a-distributed-deep-learning-network-over-spark)
-16. [A chess AI that learns to play chess using deep learning.](https://github.com/erikbern/deep-pink)
-17. [Reproducing the results of "Playing Atari with Deep Reinforcement Learning" by DeepMind] (https://github.com/kristjankorjus/Replicating-DeepMind)
+8.  [gfx.js](https://github.com/clementfarabet/gfx.js)
+9. [Torch7 Cheat sheet](https://github.com/torch/torch7/wiki/Cheatsheet)
+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/)
+11. [Misc from MIT's 'Machine Learning' course](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-867-machine-learning-fall-2006/lecture-notes/)
+12. [Misc from MIT's 'Networks for Learning: Regression and Classification' course](http://ocw.mit.edu/courses/brain-and-cognitive-sciences/9-520-a-networks-for-learning-regression-and-classification-spring-2001/)
+13. [Misc from MIT's 'Neural Coding and Perception of Sound' course](http://ocw.mit.edu/courses/health-sciences-and-technology/hst-723j-neural-coding-and-perception-of-sound-spring-2005/index.htm)
+14. [Implementing a Distributed Deep Learning Network over Spark](http://www.datasciencecentral.com/profiles/blogs/implementing-a-distributed-deep-learning-network-over-spark)
+15. [A chess AI that learns to play chess using deep learning.](https://github.com/erikbern/deep-pink)
+16. [Reproducing the results of "Playing Atari with Deep Reinforcement Learning" by DeepMind] (https://github.com/kristjankorjus/Replicating-DeepMind)