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@@ -1,6 +1,6 @@
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### Free Online Books
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-1. [Deep Learning](http://www.iro.umontreal.ca/~bengioy/dlbook/) by Yoshua Bengio, Ian Goodfellow and Aaron Courville (01/01/2015)
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+1. [Deep Learning](http://www.iro.umontreal.ca/~bengioy/dlbook/) by Yoshua Bengio, Ian Goodfellow and Aaron Courville (05/07/2015)
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2. [Neural Networks and Deep Learning](http://neuralnetworksanddeeplearning.com/) by Michael Nielsen (Dec 2014)
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3. [Deep Learning](http://research.microsoft.com/pubs/209355/DeepLearning-NowPublishing-Vol7-SIG-039.pdf) by Microsoft Research (2013)
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4. [Deep Learning Tutorial](http://deeplearning.net/tutorial/deeplearning.pdf) by LISA lab, University of Montreal (Jan 6 2015)[neuraltalk](https://github.com/karpathy/neuraltalk) by Andrej Karpathy : numpy-based RNN/LSTM implementation
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@@ -96,6 +96,7 @@ Recognition](http://nlp.stanford.edu/~socherr/pa4_ner.pdf) [zip](http://nlp.stan
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8. [Using convolutional neural nets to detect facial keypoints tutorial](http://danielnouri.org/notes/2014/12/17/using-convolutional-neural-nets-to-detect-facial-keypoints-tutorial/)
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9. [Torch7 Tutorials](http://code.madbits.com/wiki/doku.php)
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10. [The Best Machine Learning Tutorials On The Web] (https://github.com/josephmisiti/machine-learning-module)
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+11. [VGG Convolutional Neural Networks Practical](http://www.robots.ox.ac.uk/~vgg/practicals/cnn/index.html)
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chuan92