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+@online{hand11neur,
+    author  = {Roman V Belavkin},
+    title   = {Lecture 11: Feed-Forward Neural Networks},
+    note    = {A Model of A Single Neuron},
+    urldate = {2010-03-17},
+    date    = {2016-03-12},
+    pages   = {3 - 5},
+    url = {http://eis.mdx.ac.uk/staffpages/rvb/teaching/BIS3226/hand11.pdf}
+}
+@online{hand11alg,
+    author  = {Roman V Belavkin},
+    title   = {Lecture 11: Feed-Forward Neural Networks},
+    note    = {Training algorithms},
+    urldate = {2010-03-17},
+    date    = {2016-03-12},
+    pages   = {9},
+    url = {http://eis.mdx.ac.uk/staffpages/rvb/teaching/BIS3226/hand11.pdf}
+}
+@online{hand11c,
+    author  = {Roman V Belavkin},
+    title   = {Lecture 11: Feed-Forward Neural Networks},
+    note    = {Applications},
+    urldate = {2010-03-17},
+    date    = {2016-03-12},
+    pages   = {10f},
+    url = {http://eis.mdx.ac.uk/staffpages/rvb/teaching/BIS3226/hand11.pdf}
+}
+@online{welt,
+    author = {Norbert Lossau},
+    title  = {Die Welt},
+    note = {Forscher wollen die Highways im Gehirn nachbauen},
+    urldate = {2014-02-09},
+    date   = {2016-03-13},
+    url = {http://www.welt.de/wissenschaft/article124674193/Forscher-wollen-die-Highways-im-Gehirn-nachbauen.html}
+}
+@online{cancer,
+    author  = {SEER, US National Cancer Institute and Dhp1080 and Unbekannt, Wikimedia Commons},
+    title   = {Neuron},
+    urldate = {2006-12-19},
+    date    = {2016-03-12},
+    url = {https://commons.wikimedia.org/wiki/File:Neuron_\%28deutsch\%29-1.svg}
+}
+@online{antwerpes,
+    author = {Frank Antwerpes},
+    title = {DocCheck Flexikon. Das Medizinlexikon zum Medmachen},
+    note = {Rezeptor},
+    urldate = {2015-01-19},
+    date = {2016-03-12},
+    url = {http://flexikon.doccheck.com/de/Rezeptor}
+}
+@online{spektrum,
+    author = {Carsten Könneker and Uwe Reichert},
+    title = {Lexikon der Biologie},
+    note = {Effektorzellen},
+    urldate = {1999},
+    date = {2016-03-12},
+    url = {http://www.spektrum.de/lexikon/biologie/effektorzellen/20145}
+}
+@online{weber,
+    author = {Michael Weber},
+    title = {Webmic's Page},
+    note = {Reflexe},
+    urldate = {2000},
+    date = {2016-03-12},
+    url = {http://www.webmic.de/reflexe.htm}
+}
+@online{kriesel,
+    author = {David Kriesel},
+    title = {Ein kleiner Überblick über Neuronale Netze},
+    note = {Zur Geschichte Neuronaler Netze},
+    pages = {10ff.},
+    urldate = {2007},
+    date = {2016-03-12},
+    url = {http://www.dkriesel.com/_media/science/neuronalenetze-de-zeta2-1col-dkrieselcom.pdf}
+}
+@online{chrislb,
+    author = {Wikimedia Commons Chrislb},
+    title = {Schema eines künstlichen Neurons},
+    date = {2016-03-12},
+    urldate = {2005-07-14},
+    url = {https://commons.wikimedia.org/wiki/File:ArtificialNeuronModel_deutsch.png}
+}
+@online{gershenson,
+    author = {Carlos Gershenson},
+    title = {Artificial Neural Networks for beginners},
+    pages = {3ff.},
+    urldate = {2003-08-20},
+    date = {2016-03-12},
+    url = {http://arxiv.org/pdf/cs/0308031v1}
+}
+@online{praat,
+    author = {Paul Boersma},
+    title = {Feedforward neural networks 1},
+    note = {What is a feedforward neural network},
+    urldate = {2004-04-26},
+    date = {2016-03-12},
+    url = {http://www.fon.hum.uva.nl/praat/manual/Feedforward_neural_networks_1__What_is_a_feedforward_ne.html}
+}
+@online{sky99,
+    author = {Wikimedia Commons Sky99},
+    title = {Struktur eines klassischen Multi-Layer-Perzeptrons},
+    urldate = {2012-04-15},
+    date = {2016-03-12},
+    url = {https://commons.wikimedia.org/wiki/File:MultiLayerPerceptron.svg}
+}
+@online{dongsoo,
+    author = {Anthony J. Papagelis and Dong Soo Kim},
+    title = {Multi-Layer Perceptron},
+    note = {Backpropagation},
+    urldate = {2004-08-28},
+    date = {2016-03-12},
+    url = {https://www.cse.unsw.edu.au/~cs9417ml/MLP2/BackPropagation.html#BackPropagation}
+}
+@online{facklam,
+    author = {Yannik Facklam},
+    title = {Entwicklung und Analyse eines Intraday-Marktpreismodells für liquide US-Aktien mit Künstlichen Neuronalen Netzen},
+    pages = {79},
+    urldate = {2013-09-27},
+    date = {2016-03-12},
+    url = {http://www.iwi.uni-hannover.de/fileadmin/wirtschaftsinformatik/Abschlussarbeiten/MA_Facklam_Y._K..pdf}
+}
+@online{harrison,
+    author = {M. Lichman},
+    title = {UCI Machine Learning Repository},
+    note = {The Boston Housing Dataset, übersetzt},
+    urldate = {1996-10-10},
+    date = {2016-03-12},
+    url = {https://archive.ics.uci.edu/ml/datasets/Housing}
+}
+@online{gbrainteam,
+    author = {Tensorflow, Google Brain Team},
+    title = {Open Source Library Tensorflow},
+    note = {Python API documentation},
+    urldate = {2016-02-16},
+    date = {2016-03-12},
+    url = {https://www.tensorflow.org/versions/master/api_docs/python/train.html#exponential_decay}
+}
+@online{sbernd,
+    author = {Bernd Schneider},
+    title = {Neuronale Netze für betriebliche Anwendungen. Anwendungspotentiale und existierende Systeme},
+    note = {Datenanalysen mit neuronalen Netzen},
+    pages = {14ff.},
+    urldate = {1993-11},
+    date = {2016-03-12},
+    url = {https://www.wi.uni-muenster.de/sites/default/files/publications/arbeitsberichte/ab22.pdf}
+}
+@online{neuraltalk,
+    author = {Andrej Karpathy and Justin Johnson},
+    title = {neuraltalk2},
+    urldate = {2015-11-15},
+    date = {2016-03-12},
+    url = {https://github.com/karpathy/neuraltalk2}
+}
+@online{charrnn,
+    author = {Andrej Karpathy},
+    title = {Andrej Karpathy blog},
+    note = {The Unreasonable Effectiveness of Recurrent Neural Networks},
+    urldate = {2015-03-21},
+    date = {2016-03-12},
+    url = {https://karpathy.github.io/2015/05/21/rnn-effectiveness/}
+}
+@online{storyteller,
+    author = {samim},
+    title = {Generating Stories about Images. Recurrent neural network for generating stories about images},
+    urldate = {2015-11-05},
+    date = {2016-03-12},
+    url = {https://medium.com/@samim/generating-stories-about-images-d163ba41e4ed#.618pkay3f}
+}
+@online{twominutepapers,
+    author = {Károly Zsolnai-Fehér},
+    title = {Two Minute Papers. Deep Neural Network Learns Van Gogh's Art},
+    urldate = {2015-08-29},
+    date = {2016-03-12},
+    url = {https://www.youtube.com/watch?v=-R9bJGNHltQ}
+}
+@online{mario,
+    author = {SethBling},
+    title = {MarI/O. Machine Learning for Video Games},
+    urldate = {2015-06-13},
+    date = {2016-03-12},
+    url = {https://www.youtube.com/watch?v=qv6UVOQ0F44}
+}
+@online{alphago,
+    author = {David Silver and Demis Hassabis},
+    title = {Google Research Blog},
+    note = {AlphaGo. Mastering the ancient game of Go with Machine Learning},
+    urldate = {2016-01-27},
+    date = {2016-03-12},
+    url = {http://googleresearch.blogspot.de/2016/01/alphago-mastering-ancient-game-of-go.html}
+}