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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)
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5 . [ neuraltalk] ( https://github.com/karpathy/neuraltalk ) by Andrej Karpathy : numpy-based RNN/LSTM implementation
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- 6 . [ An introduction to genetic algorithms] ( https ://svn-d1.mpi-inf.mpg.de/AG1/MultiCoreLab/papers/ ebook-fuzzy-mitchell-99 .pdf)
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+ 6 . [ An introduction to genetic algorithms] ( http ://www.boente.eti.br/fuzzy/ ebook-fuzzy-mitchell.pdf)
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7 . [ Artificial Intelligence: A Modern Approach] ( http://aima.cs.berkeley.edu/ )
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8 . [ Deep Learning in Neural Networks: An Overview] ( http://arxiv.org/pdf/1404.7828v4.pdf )
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9 . [ Artificial intelligence and machine learning: Topic wise explanation] ( https://leonardoaraujosantos.gitbooks.io/artificial-inteligence/ )
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