DeepDream (Estonian Wikipedia)

Analysis of information sources in references of the Wikipedia article "DeepDream" in Estonian language version.

refsWebsite

Global rank Estonian rank

5arxiv.org

69^th place

273^rd place

4doi.org

2^nd place

16^th place

3harvard.edu

18^th place

77^th place

2googleresearch.blogspot.co.uk

low place

2web.archive.org

1^st place

1theverge.com

114^th place

618^th place

1distill.pub

low place

1worldcat.org

5^th place

76^th place

1researchgate.net

120^th place

203^rd place

1github.com

383^rd place

333^rd place

1wired.co.uk

2,053^rd place

4,855^th place

1hu-berlin.de

2,869^th place

low place

1theatlantic.com

228^th place

650^th place

1youtube.com

9^th place

26^th place

arxiv.org

Szegedy, Christian; Liu, Wei; Jia, Yangqing; Sermanet, Pierre; Reed, Scott; Anguelov, Dragomir; Erhan, Dumitru; Vanhoucke, Vincent; Rabinovich, Andrew (2014). "Going Deeper with Convolutions". Computing Research Repository. arXiv:1409.4842. Bibcode:2014arXiv1409.4842S.
Mahendran, Aravindh; Vedaldi, Andrea (2015). Understanding Deep Image Representations by Inverting Them. IEEE Conference on Computer Vision and Pattern Recognition. arXiv:1412.0035. DOI:10.1109/CVPR.2015.7299155. {{cite conference}}: parameeter |accessdate= nõuab parameetrit |url= (juhend)
Yosinski, Jason; Clune, Jeff; Nguyen, Anh; Fuchs, Thomas (2015). 27-11-2018 Understanding Neural Networks Through Deep Visualization. Deep Learning Workshop, International Conference on Machine Learning (ICML) Deep Learning Workshop. {{cite conference}}: kontrolli parameetri |url= väärtust (juhend)
Nguyen, Anh; Dosovitskiy, Alexey; Yosinski, Jason; Brox, Thomas (2016). Synthesizing the preferred inputs for neurons in neural networks via deep generator networks. arxiv. arXiv:1605.09304. Bibcode:2016arXiv160509304N. {{cite conference}}: parameeter |accessdate= nõuab parameetrit |url= (juhend)
Arora, Sanjeev; Liang, Yingyu; Tengyu, Ma (2016). Why are deep nets reversible: A simple theory, with implications for training. arxiv. arXiv:1511.05653. Bibcode:2015arXiv151105653A. {{cite conference}}: parameeter |accessdate= nõuab parameetrit |url= (juhend)

distill.pub

Olah, Chris; Mordvintsev, Alexander; Schubert, Ludwig (7. november 2017). "Feature Visualization". Distill (Ameerika inglise). 2 (11). DOI:10.23915/distill.00007. ISSN 2476-0757. Vaadatud 27.11.2018.

doi.org

Mahendran, Aravindh; Vedaldi, Andrea (2015). Understanding Deep Image Representations by Inverting Them. IEEE Conference on Computer Vision and Pattern Recognition. arXiv:1412.0035. DOI:10.1109/CVPR.2015.7299155. {{cite conference}}: parameeter |accessdate= nõuab parameetrit |url= (juhend)
Olah, Chris; Mordvintsev, Alexander; Schubert, Ludwig (7. november 2017). "Feature Visualization". Distill (Ameerika inglise). 2 (11). DOI:10.23915/distill.00007. ISSN 2476-0757. Vaadatud 27.11.2018.
Lewis, J.P. (1988). Creation by refinement: a creativity paradigm for gradient descent learning networks. IEEE International Conference on Neural Networks. DOI:10.1109/ICNN.1988.23933.
Portilla, J; Simoncelli, Eero (2000). "A parametric texture model based on joint statistics of complex wavelet coefficients". International Journal of Computer Vision. DOI:10.1023/A:1026553619983.

github.com

https://github.com/google/deepdream. {{cite web}}: puuduv või tühi pealkiri: |title= (juhend)

googleresearch.blogspot.co.uk

Mordvintsev, Alexander; Olah, Christopher; Tyka, Mike (2015). "DeepDream - a code example for visualizing Neural Networks". Google Research. Vaadatud 27.11.2018.
Mordvintsev, Alexander; Olah, Christopher; Tyka, Mike (2015). "Inceptionism: Going Deeper into Neural Networks". Google Research. Vaadatud 27.11.2018.

harvard.edu

ui.adsabs.harvard.edu

Szegedy, Christian; Liu, Wei; Jia, Yangqing; Sermanet, Pierre; Reed, Scott; Anguelov, Dragomir; Erhan, Dumitru; Vanhoucke, Vincent; Rabinovich, Andrew (2014). "Going Deeper with Convolutions". Computing Research Repository. arXiv:1409.4842. Bibcode:2014arXiv1409.4842S.
Nguyen, Anh; Dosovitskiy, Alexey; Yosinski, Jason; Brox, Thomas (2016). Synthesizing the preferred inputs for neurons in neural networks via deep generator networks. arxiv. arXiv:1605.09304. Bibcode:2016arXiv160509304N. {{cite conference}}: parameeter |accessdate= nõuab parameetrit |url= (juhend)
Arora, Sanjeev; Liang, Yingyu; Tengyu, Ma (2016). Why are deep nets reversible: A simple theory, with implications for training. arxiv. arXiv:1511.05653. Bibcode:2015arXiv151105653A. {{cite conference}}: parameeter |accessdate= nõuab parameetrit |url= (juhend)

hu-berlin.de

edoc.hu-berlin.de

Spratt, Emily L. (2017). "Dream Formulations and Deep Neural Networks: Humanistic Themes in the Iconology of the Machine-Learned Image" (PDF). Kunsttexte. Humboldt-Universität zu Berlin. 4. Originaali (PDF) arhiivikoopia seisuga 27.10.2020. Vaadatud 27.11.2018.

researchgate.net

Erhan, Dumitru. (2009). Visualizing Higher-Layer Features of a Deep Network (PDF). International Conference on Machine Learning Workshop on Learning Feature Hierarchies. Vaadatud 27.11.2018.

theatlantic.com

LaFrance, Adrienne. "When Robots Hallucinate". The Atlantic. Vaadatud 27.11.2018.

theverge.com

Rich McCormick (7. juuli 2015). "Fear and Loathing in Las Vegas is terrifying through the eyes of a computer". The Verge. Vaadatud 27.11.2018.

web.archive.org

Daniel Culpan (3. juuli 2015). "These Google "Deep Dream" Images Are Weirdly Mesmerising". Wired. Originaali arhiivikoopia seisuga 8.05.2016. Vaadatud 27.11.2018.
Spratt, Emily L. (2017). "Dream Formulations and Deep Neural Networks: Humanistic Themes in the Iconology of the Machine-Learned Image" (PDF). Kunsttexte. Humboldt-Universität zu Berlin. 4. Originaali (PDF) arhiivikoopia seisuga 27.10.2020. Vaadatud 27.11.2018.

wired.co.uk

Daniel Culpan (3. juuli 2015). "These Google "Deep Dream" Images Are Weirdly Mesmerising". Wired. Originaali arhiivikoopia seisuga 8.05.2016. Vaadatud 27.11.2018.

worldcat.org

Olah, Chris; Mordvintsev, Alexander; Schubert, Ludwig (7. november 2017). "Feature Visualization". Distill (Ameerika inglise). 2 (11). DOI:10.23915/distill.00007. ISSN 2476-0757. Vaadatud 27.11.2018.

youtube.com

fosterthepeopleVEVO (11. august 2017), Foster The People - Doing It for the Money, vaadatud 27.11.2018