publication . Preprint . Article . 2016

Creativity in Machine Learning

Martin Thoma;
Open Access English
  • Published: 12 Jan 2016
Abstract
Comment: 5 pages, 4 figures
Subjects
free text keywords: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Learning
18 references, page 1 of 2

--, “Composing music with recurrent neural networks,” Personal Blog, Aug. 2015. [Online]. Available: http://www.hexahedria.com/2015/08/03/ composing-music-with-recurrent-neural-networks/

J. Johnson, “neural-style,” GitHub, Jan. 2016. [Online]. Available: https://github.com/jcjohnson/neural-style

A. Karpathy, “char-rnn,” GitHub, Nov. 2015. [Online]. Available: https://github.com/karpathy/char-rnn

--, “The unreasonable effectiveness of recurrent neural networks,” Personal Blog, May 2015. [Online]. Available: http://karpathy.github.io/2015/05/21/rnn-effectiveness/

T. M. Mitchell, Machine learning, ser. McGraw Hill series in computer science. McGraw-Hill, 1997.

A. Mordvintsev, C. Olah, and M. Tyka, “Inceptionism: Going deeper into neural networks,” googleresearch.blogspot.co.uk, Jun. 2015. [Online]. Available: http://googleresearch.blogspot.de/ 2015/06/inceptionism-going-deeper-into-neural.html

M. A. Nielsen, Neural Networks and Deep Learning. Determination Press, 2015. [Online]. Available: http://neuralnetworksanddeeplearning.com/chap6.html# introducing convolutional networks

A. Nayebi and M. Vitelli, “GRUV: Algorithmic music generation using recurrent neural networks,” 2015. [Online]. Available: http://cs224d.stanford.edu/reports/NayebiAran.pdf

2014. [Online]. Available: https://www.youtube.com/watch?v= Hj5lGFzlubU

Y. Shih, S. Paris, C. Barnes, W. T. Freeman, and F. Durand, “Style transfer for headshot portraits,” ACM Transactions on Graphics (TOG), vol. 33, no. 4, p. 148, 2014. [Online]. Available: http://dl.acm.org/citation.cfm?id=2601137

P. Tresset and F. F. Leymarie, “Generative portrait sketching,” in Proceedings of VSMM, 2005, pp. 739-748.

M. Vitelli, “Algorithmic music generation with recurrent neural networks,” YouTube, Jun. 2015. [Online]. Available: https://youtu.be/0VTI1BBLydE [KMN+02] T. Kanungo, D. Mount, N. Netanyahu, C. Piatko, R. Silverman, and A. Wu, “An efficient k-means clustering algorithm: analysis and implementation,” Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 24, no. 7, pp. 881-892, Jul 2002.

[VKMT13] C. Vondrick, A. Khosla, T. Malisiewicz, and A. Torralba, “Hoggles: Visualizing object detection features,” in Computer Vision (ICCV), 2013 IEEE International Conference on. IEEE, 2013, pp. 1-8. [Online]. Available: http://ieeexplore.ieee.org/ xpls/abs all.jsp?arnumber=6751109 [OpenAIRE]

O. Vinyals and Q. Le, “A neural conversational model,” arXiv preprint arXiv:1506.05869, Jul. 2015. [Online]. Available: http://arxiv.org/abs/1506.05869v2

M. Vitelli and A. Nayebi, “GRUV,” Aug. 2015. [Online].

18 references, page 1 of 2
Abstract
Comment: 5 pages, 4 figures
Subjects
free text keywords: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Learning
18 references, page 1 of 2

--, “Composing music with recurrent neural networks,” Personal Blog, Aug. 2015. [Online]. Available: http://www.hexahedria.com/2015/08/03/ composing-music-with-recurrent-neural-networks/

J. Johnson, “neural-style,” GitHub, Jan. 2016. [Online]. Available: https://github.com/jcjohnson/neural-style

A. Karpathy, “char-rnn,” GitHub, Nov. 2015. [Online]. Available: https://github.com/karpathy/char-rnn

--, “The unreasonable effectiveness of recurrent neural networks,” Personal Blog, May 2015. [Online]. Available: http://karpathy.github.io/2015/05/21/rnn-effectiveness/

T. M. Mitchell, Machine learning, ser. McGraw Hill series in computer science. McGraw-Hill, 1997.

A. Mordvintsev, C. Olah, and M. Tyka, “Inceptionism: Going deeper into neural networks,” googleresearch.blogspot.co.uk, Jun. 2015. [Online]. Available: http://googleresearch.blogspot.de/ 2015/06/inceptionism-going-deeper-into-neural.html

M. A. Nielsen, Neural Networks and Deep Learning. Determination Press, 2015. [Online]. Available: http://neuralnetworksanddeeplearning.com/chap6.html# introducing convolutional networks

A. Nayebi and M. Vitelli, “GRUV: Algorithmic music generation using recurrent neural networks,” 2015. [Online]. Available: http://cs224d.stanford.edu/reports/NayebiAran.pdf

2014. [Online]. Available: https://www.youtube.com/watch?v= Hj5lGFzlubU

Y. Shih, S. Paris, C. Barnes, W. T. Freeman, and F. Durand, “Style transfer for headshot portraits,” ACM Transactions on Graphics (TOG), vol. 33, no. 4, p. 148, 2014. [Online]. Available: http://dl.acm.org/citation.cfm?id=2601137

P. Tresset and F. F. Leymarie, “Generative portrait sketching,” in Proceedings of VSMM, 2005, pp. 739-748.

M. Vitelli, “Algorithmic music generation with recurrent neural networks,” YouTube, Jun. 2015. [Online]. Available: https://youtu.be/0VTI1BBLydE [KMN+02] T. Kanungo, D. Mount, N. Netanyahu, C. Piatko, R. Silverman, and A. Wu, “An efficient k-means clustering algorithm: analysis and implementation,” Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 24, no. 7, pp. 881-892, Jul 2002.

[VKMT13] C. Vondrick, A. Khosla, T. Malisiewicz, and A. Torralba, “Hoggles: Visualizing object detection features,” in Computer Vision (ICCV), 2013 IEEE International Conference on. IEEE, 2013, pp. 1-8. [Online]. Available: http://ieeexplore.ieee.org/ xpls/abs all.jsp?arnumber=6751109 [OpenAIRE]

O. Vinyals and Q. Le, “A neural conversational model,” arXiv preprint arXiv:1506.05869, Jul. 2015. [Online]. Available: http://arxiv.org/abs/1506.05869v2

M. Vitelli and A. Nayebi, “GRUV,” Aug. 2015. [Online].

18 references, page 1 of 2
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publication . Preprint . Article . 2016

Creativity in Machine Learning

Martin Thoma;