1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
|
@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}
}
|
