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In this paper we discuss the stability properties of convolutional neural networks.
Sepp Hochreiter and Jürgen Schmidhuber, Long short-term memory , Neural Comput. 9
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J. Bruna and S. Mallat, Invariant scattering convolution networks , IEEE Transactions on Pattern Analysis and Machine Intelligence 35
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Roi Livni, Shai Shalev-shwartz, and Ohad Shamir, On the computational efficiency of training neural networks , Advances in Neural Information Processing Systems 27 (Z. Ghahramani, M. Welling, C. Cortes, N.d. Lawrence, and K.q. Weinberger, eds.), Curran Associates, Inc., 2014, pp. 855–863
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Yann Lecun, Yoshua Bengio, and Geoffrey Hinton, Deep learning , Nature 521
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Tara N. Sainath, Oriol Vinyals, Andrew W. Senior, and Hasim Sak, Convolutional, long short-term memory, fully connected deep neural networks , 2015 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2015, South Brisbane, Queensland, Australia, April 19-24, 2015, 2015, pp. 4580–4584
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Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, and Andrew Rabinovich, Going deeper with convolutions , CVPR 2015, 2015
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Thomas Wiatowski and Helmut Bölcskei, Deep convolutional neural networks based on semi-discrete frames , Proc. of IEEE International Symposium on Information Theory (ISIT), June 2015, pp. 1212–1216
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Yoshua Bengio Ian Goodfellow and Aaron Courville, Deep learning , Book in preparation for MIT Press, 2016
2016
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