@book{book--goodfellow--2016,
      title     = {Deep Learning},
      author    = {Ian Goodfellow and Yoshua Bengio and Aaron Courville},
      publisher = {MIT Press},
      ISBN      = {9780262035613}
      note      = {\url{http://www.deeplearningbook.org}},
      year      = {2016}
}

@article{article--hwang-zhow--2015,
      title  = {Image Colorization with Depp Convulational Neural Networks},
      author = {Jeff Hwang and You Zhou},
      year   = {2015}
}

@comment TODO: check authors
@article{article--zhang--2015,
      author    = {Jiajun Zhang and Chengqing Zong},
      pages     = {16--25}
      publisher = {IEEE Intelligent Systems}
      title     = {Deep Natural Networks in Machine Translation: An Overview. Natural Language Processing},
      year      = {2015}
}

@book{book--minsky-papert--1969,
      author    = {Marvin Minsky and Seymour Papert},
      title     = {Perceptrons: an introduction to computational geometry},
      publisher = {MIT Press},
      year      = {1969},
      ISBN      = {0262630222}
}

@article{article--mcculloch-pitts--1943,
      author   = {Warren McCulloch and Walter Pitts},
      title    = {A Logical Calculus of the Ideas Immanent Nervous Activity.},
      journal  = {Bulletin of Mathematical Boiphysics},
      pages    = {115--133},
      numpages = {18},
      year     = {1943}
}

@article{article--Kurkova--1992,
      author     = {K\r{u}rkov\'{a}, V\v{e}ra},
      title      = {Kolmogorov's Theorem and Multilayer Neural Networks},
      journal    = {Neural Netw.},
      issue_date = {1992},
      volume     = {5},
      number     = {3},
      month      = mar,
      year       = {1992},
      issn       = {0893-6080},
      pages      = {501--506},
      numpages   = {6},
      url        = {http://dx.doi.org/10.1016/0893-6080(92)90012-8},
      doi        = {10.1016/0893-6080(92)90012-8},
      acmid      = {148474},
      publisher  = {Elsevier Science Ltd.},
      address    = {Oxford, UK, UK}
}

@book{book--russell--2003,
      author    = {Russell, Stuart J. and Norvig, Peter},
      title     = {Artificial Intelligence: A Modern Approach},
      year      = {2003},
      isbn      = {0137903952},
      edition   = {2},
      publisher = {Pearson Education},
}

@book{book--hastie--2008,
      address   = {New York, NY, USA},
      author    = {Hastie, Trevor and Tibshirani, Robert and Friedman, Jerome},
      keywords  = {ml statistics},
      publisher = {Springer New York Inc.},
      title     = {The Elements of Statistical Learning},
      isbn      = {978-0-387-84857-0},
      edition   = {2},
      year      = {2008}
}
@book{book--kohonen--2001,
      editor    = {Kohonen, T. and Schroeder, M. R. and Huang, T. S.},
      title     = {Self-Organizing Maps},
      year      = {2001},
      isbn      = {3540679219},
      edition   = {3rd},
      publisher = {Springer-Verlag New York, Inc.},
      address   = {Secaucus, NJ, USA},
}

@article{article--lecun--1989,
      author  = {LeCun, Y. and Jackel,  L. D. and Boser, B.  and Denker, J. S.  and Graf, H. P. and Guyon, I. and Henderson, D. and Howard, R. E. and Hubbard, W.},
      title   =  {Handwritten Digit Recognition: Applications of Neural Net Chips and Automatic Learning},
      journal =  {IEEE Communication},
      year    =  {1989},
      month   =  {November},
      pages   =  {41-46},
      note    =  {invited paper}
}

@article{article--krizhevsky--2012,
      author    = {Alex Krizhevsky and Ilya Sutskever and Geoffrey E. Hinton},
      title     = {ImageNet Classification with Deep Convolutional Neural Networks},
      pages     = {1106--1114},
      year      = {2012},
      crossref  = {DBLP:conf/nips/2012},
      url       = {http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks},
      timestamp = {Thu, 11 Dec 2014 17:34:07 +0100},
      biburl    = {http://dblp.uni-trier.de/rec/bib/conf/nips/KrizhevskySH12},
      bibsource = {dblp computer science bibliography, http://dblp.org}
}

@article{article--zeiler--2013,
      author    = {Matthew D. Zeiler and Rob Fergus},
      title     = {Visualizing and Understanding Convolutional Networks},
      journal   = {CoRR},
      volume    = {abs/1311.2901},
      year      = {2013},
      url       = {http://arxiv.org/abs/1311.2901},
      timestamp = {Tue, 28 Mar 2017 12:18:30 +0200},
      biburl    = {http://dblp.uni-trier.de/rec/bib/journals/corr/ZeilerF13},
      bibsource = {dblp computer science bibliography, http://dblp.org}
}

@online{online--deshpande--2016,
      author = {Adit Deshpande},
      title = {The 9 Deep Learning Papers You Need To Know About (Understanding CNNs Part 3)},
      url = {https://adeshpande3.github.io/adeshpande3.github.io/The-9-Deep-Learning-Papers-You-Need-To-Know-About.html},
      month = {August},
      year  = {2016 (accessed May 6, 2017)}
}

@article{article--szegedy--2014,
      author    = {Christian Szegedy and
                  Wei Liu and
                  Yangqing Jia and
                  Pierre Sermanet and
                  Scott E. Reed and
                  Dragomir Anguelov and
                  Dumitru Erhan and
                  Vincent Vanhoucke and
                  Andrew Rabinovich},
      title     = {Going Deeper with Convolutions},
      journal   = {CoRR},
      volume    = {abs/1409.4842},
      year      = {2014},
      url       = {http://arxiv.org/abs/1409.4842},
      timestamp = {Tue, 31 May 2016 18:15:20 +0200},
      biburl    = {http://dblp.uni-trier.de/rec/bib/journals/corr/SzegedyLJSRAEVR14},
      bibsource = {dblp computer science bibliography, http://dblp.org}
}

@article{article--He-Zhang--2015,
      author    = {Kaiming He and
                  Xiangyu Zhang and
                  Shaoqing Ren and
                  Jian Sun},
      title     = {Deep Residual Learning for Image Recognition},
      journal   = {CoRR},
      volume    = {abs/1512.03385},
      year      = {2015},
      url       = {http://arxiv.org/abs/1512.03385},
      timestamp = {Wed, 30 Mar 2016 23:40:00 +0200},
      biburl    = {http://dblp.uni-trier.de/rec/bib/journals/corr/HeZRS15},
      bibsource = {dblp computer science bibliography, http://dblp.org}
}

@article{article--hubel--1959,
      added-at  = {2008-03-11T14:52:34.000+0100},
      author    = {Hubel, David H. and Wiesel, Torsten N.},
      biburl    = {https://www.bibsonomy.org/bibtex/202c5cf1ee910eadba5efa77b3cd043f6/idsia},
      interhash = {87c70cb3bc4356f740496375718bd3d3},
      intrahash = {02c5cf1ee910eadba5efa77b3cd043f6},
      journal   = {Journal of Physiology},
      keywords  = {nn},
      pages     = {574--591},
      priority  = {2},
      timestamp = {2008-03-11T15:03:48.000+0100},
      title     = {Receptive Fields of Single Neurons in the Cat's Striate Cortex},
      volume    = 148,
      year      = 1959
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@article{article--dozat--2015,
  title={Incorporating Nesterov Momentum into Adam},
  author={Timothy Dozat},
  year={2015}
}

@article{article--srivastava--2014,
  author  = {Nitish Srivastava and Geoffrey Hinton and Alex Krizhevsky and Ilya Sutskever and Ruslan Salakhutdinov},
  title   = {Dropout: A Simple Way to Prevent Neural Networks from Overfitting},
  journal = {Journal of Machine Learning Research},
  year    = {2014},
  volume  = {15},
  pages   = {1929-1958},
  url     = {http://jmlr.org/papers/v15/srivastava14a.html}
}

@online{online--gibiansky--2014,
      author = {Andrew Gibiansky},
      title = {Convolutional Neural Networks},
      url = {http://andrew.gibiansky.com/blog/machine-learning/convolutional-neural-networks/},
      month = {February},
      year  = {2014 (accessed May 12, 2017)}
}
@article{article--owens--2015,
  author    = {Andrew Owens and
               Phillip Isola and
               Josh H. McDermott and
               Antonio Torralba and
               Edward H. Adelson and
               William T. Freeman},
  title     = {Visually Indicated Sounds},
  journal   = {CoRR},
  volume    = {abs/1512.08512},
  year      = {2015},
  url       = {http://arxiv.org/abs/1512.08512},
  timestamp = {Fri, 02 Sep 2016 17:45:21 +0200},
  biburl    = {http://dblp.uni-trier.de/rec/bib/journals/corr/OwensIMTAF15},
  bibsource = {dblp computer science bibliography, http://dblp.org}
}

@article{article--zhang--2016,
  title={Colorful Image Colorization},
  author={Zhang, Richard and Isola, Phillip and Efros, Alexei A},
  booktitle={ECCV},
  year={2016}
}

@article{article--vinyals--2014,
  author    = {Oriol Vinyals and
               Alexander Toshev and
               Samy Bengio and
               Dumitru Erhan},
  title     = {Show and Tell: {A} Neural Image Caption Generator},
  journal   = {CoRR},
  volume    = {abs/1411.4555},
  year      = {2014},
  url       = {http://arxiv.org/abs/1411.4555},
  timestamp = {Mon, 01 Dec 2014 14:32:13 +0100},
  biburl    = {http://dblp.uni-trier.de/rec/bib/journals/corr/VinyalsTBE14},
  bibsource = {dblp computer science bibliography, http://dblp.org}
}

@online{image__cnn_structure,
title        = {An image of a traffic sign is filtered by 4 5×5 convolutional kernels},
year         = {2015 (accessed May 13, 2017)},
howpublished = {Nvidia Developer; \url{https://devblogs.nvidia.com/parallelforall/wp-content/uploads/2015/11/fig1.png}},
}

@online{image__gradient_descent,
title        = {Multiple Regression Gradient Descent},
author       = {Charles Franzen [online]},
year         = {2016 (accessed May 13, 2017)},
howpublished = {\url{http://charlesfranzen.com/images/gradient.png}},
}

@online{image__net_structure,
title        = {CS231n: Convolutional Neural Networks for Visual Recognition},
author       = {Andrej Karpathy},
year         = {2017 (accessed May 13, 2017)},
howpublished = {\url{http://cs231n.github.io/convolutional-networks/}},
}

@online{image__neuron_model,
title        = {Machine Learning: Introduction to the Artificial Neural Network},
author       = {Tanmana Sadhu},
year         = {2012 (accessed May 13, 2017)},
howpublished = {\url{http://durofy.com/machine-learning-introduction-to-the-artificial-neural-network/}},
}

@online{image__over_under_fitting,
title        = {Over under fitting},
year         = {2014 (accessed May 13, 2017)},
howpublished = {Knewton blog developer blog [online]; \url{https://18784-presscdn-0-49-pagely.netdna-ssl.com/wp-content/uploads/2014/09/Gizem1.jpg.png}},
}

@online{image__test_vs_train_error,
title        = {Test vs. training error},
year         = {2015 (accessed May 13, 2017)},
howpublished = {Stack Exange [online] \url{https://i.stack.imgur.com/IpI8U.png}},
}

@online{image__zero_padding,
title        = {A zero-padded 4 x 4 matrix becomes a 6 x 6 matrix},
year         = {2016 (accessed May 13, 2017)},
howpublished = {XRDS Crossroads the ACM Magazine for Students; \url{http://xrds.acm.org/blog/wp-content/uploads/2016/06/Figure_3.png}},
}

@online{image__dropout,
title        = {Dropout},
year         = {2015 (accessed May 13, 2017)},
howpublished = {\url{http://lamda.nju.edu.cn/weixs/project/CNNTricks/imgs/dropout.png}},
}

@online{image__adding_sound,
title        = {Adding sound},
year         = {2016 (accessed May 13, 2017)},
howpublished = {Massachusetts Institut of Technology News [online]; \url{http://news.mit.edu/sites/mit.edu.newsoffice/files/styles/news_article_image_top_slideshow/public/images/2016/MIT-CSAIL-sound-prediction-algorithm-2_0.png?itok=LIsXEB-x}},
}

@online{image__algorithm_for_image_description,
title        = {Algorithm for image description},
year         = {2015 (accessed May 13, 2017)},
howpublished = {Semantic Scholar [online]; \url{https://ai2-s2-public.s3.amazonaws.com/figures/2016-11-08/11da2d589485685f792a8ac79d4c2e589e5f77bd/0-Figure1-1.png}},
}

@online{image__colorozation,
title        = {Colorization},
year         = {2016 (accessed May 13, 2017)},
howpublished = {Grossum [online]; \url{https://www.grossum.com/uploads/media/postPicture/0001/01/815d91e877cc1e586702a04ea8837fd8a846367b.jpeg}},
}

@online{image__max_poolig,
title        = {Max pooling},
year         = {2017 (accessed May 13, 2017)},
howpublished = {Intel Developer Zone [online]; \url{https://software.intel.com/sites/default/files/did_feeds_images/46c3bfae-84f5-48ed-9412-8c8e9a4df219/46c3bfae-84f5-48ed-9412-8c8e9a4df219-imageId=542924f6-128a-4e45-8c09-b2438e2faec7.png}},
}

@online{image__mnits_100_digits,
title        = {Mnits 100 digits},
year         = {2015 (accessed May 13, 2017)},
howpublished = {Neural Networks and Deep Learning [online]; \url{http://neuralnetworksanddeeplearning.com/images/mnist_100_digits.png}},
}

@online{image__scene_description,
title        = {Scene Description},
year         = {2014 (accessed May 13, 2017)},
howpublished = {Imaging Resource [online]; \url{http://www.imaging-resource.com/?ACT=44&fid=17&d=4247&f=google-image-recognition-2.jpg}},
}

@online{image__visual_translation,
title        = {Visual Translation},
year         = {2015 (accessed May 13, 2017)},
howpublished = {ZDnet [online]; \url{http://zdnet3.cbsistatic.com/hub/i/r/2015/07/30/5d3f769d-781c-469e-a487-135529cf1f75/resize/770xauto/55a2022325bcf30b7ee18466f340f195/screen-shot-2015-07-30-at-13-33-07.png}},
}

@online{image__preprocesing,
title        = {Předzpracování obrazu},
author       = {Ilona Kalová},
year         = {2015 (accessed May 13, 2017)},
howpublished = {VUT Brno Scriptum, Pocitacove videni, Computer Vision Group},
}