[16] Introduction to Convolutional neural network
[17] Dean, J., Corrado, G.S., Monga, R., et al, Ng, A. Y. Large Scale Distributed Deep Networks. In Proceedings of the Neural Information Processing Systems (NIPS’12) (Lake Tahoe, Nevada, United States, December 3–6, 2012). Curran Associates, Inc, 57 Morehouse Lane, Red Hook, NY, 2013, 1223-1232.
[18] Kaldi project
[19] Povey, D., Ghoshal, A. Boulianne, G., et al, Vesely, K. Kaldi. The Kaldi Speech Recognition Toolkit. in Proceedings of IEEE 2011 Workshop on Automatic Speech Recognition and Understanding(ASRU 2011) (Hilton Waikoloa Village, Big Island, Hawaii, US, December 11-15, 2011). IEEE Signal Processing Society. IEEE Catalog No.: CFP11SRW-USB.
[20] cuda-convent ://code.google.com/p/cuda-convnet/
[21] Krizhevsky, A., Sutskever, I., and Hinton, G.E. ImageNet Classification with Deep Convolutional Neural Networks. In Proceedings of the Neural Information Processing Systems (NIPS’12) (Lake Tahoe, Nevada, United States, December 3–6, 2012). Curran Associates, Inc, 57 Morehouse Lane, Red Hook, NY, 2013, 1097-1106.
[22] Krizhevsky, A. Parallelizing Convolutional Neural Networks. in tutorial of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2014). (Columbus, Ohio, USA, June 23-28, 2014). 2014.
[23] caffe
[24] Jia, Y. Q. Caffe: An Open Source Convolutional Architecture for Fast Feature Embedding. (2013).
[25] Theano ://github.com/Theano/Theano
[26] J. Bergstra, O. Breuleux, F. Bastien, P. Lamblin, R. Pascanu, G. Desjardins, J. Turian, D. Warde-Farley and Y. Bengio. Theano: A CPU and GPU Math Expression Compiler. Proceedings of the Python for Scientific Computing Conference (SciPy) 2010. June 30 – July 3, Austin, TX.
[27] Overfeat ?id=code:start
[28] Torch7
[29] Coates, A., Huval, B., Wang, T., Wu, D. J., Ng, A. Y. Deep learning with COTS HPC systems. In Proceedings of the 30th International Conference on Machine Learning (ICML’13) (Atlanta, Georgia, USA, June 16–21, 2013). JMLR: W&CP volume 28(3), 2013, 1337-1345.
[30] Yadan, O., Adams, K., Taigman, Y., Ranzato, M. A. Multi-GPU Training of ConvNets. arXiv:1312.5853v4 [cs.LG] (February 2014)
[31] Kaiyu, Large-scale Deep Learning at Baidu, ACM International Conference on Information and Knowledge Management (CIKM 2013)
[32] aaronzou, Mariana深度学习在腾讯的平台化和应用实践
[33] Geoffrey E. Hinton, Simon Osindero, Yee-Whye Teh, A fast learning algorithm for deep belief nets Neural Compute, 18(7), 1527-54 (2006)
[34] Andrew Ng. Machine Learning and AI via Brain simulations,
://forum.stanford.edu/events/2011slides/plenary/2011plenaryNg.pdf
[35] Geoffrey Hinton：UCLTutorial on: Deep Belief Nets
[36] Krizhevsky, Alex. “ImageNet Classification with Deep Convolutional Neural Networks”. Retrieved 17 November 2013.
[37] “Convolutional Neural Networks (LeNet) – DeepLearning 0.1 documentation”. DeepLearning 0.1. LISA Lab. Retrieved 31 August 2013.
[38] Bengio, Learning Deep Architectures for AI ，  ~bengioy/papers/ftml_book.pdf；
[39] Deep Learning
[40] Deep Learning ~yann/research/deep/
[41] Introduction to Deep Learning.
[42] Google的猫脸识别:人工智能的新突破
[43] Andrew Ng’s talk video:
[44] Invited talk “A Tutorial on Deep Learning” by Dr. Kai Yu

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