Benchmarking State-of-the-Art Deep Learning Software Tools

Preprint English OPEN
Shi, Shaohuai; Wang, Qiang; Xu, Pengfei; Chu, Xiaowen;
(2016)
  • Subject: Computer Science - Distributed, Parallel, and Cluster Computing | Computer Science - Learning

Deep learning has been shown as a successful machine learning method for a variety of tasks, and its popularity results in numerous open-source deep learning software tools. Training a deep network is usually a very time-consuming process. To address the computational c... View more
  • References (31)
    31 references, page 1 of 4

    521, no. 7553, pp. 436-444, 2015.

    L. Deng, “Three classes of deep learning architectures and their applications: a tutorial survey,” APSIPA transactions on signal and information processing, 2012.

    Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell, “Caffe: Convolutional architecture for fast feature embedding,” in Proceedings of the 22nd ACM international conference on Multimedia, 2014, pp. 675-678.

    D. Yu, A. Eversole, M. Seltzer, K. Yao, Z. Huang, B. Guenter, O. Kuchaiev, Y. Zhang, F. Seide, H. Wang et al., “An introduction to computational networks and the computational network toolkit,” Technical report, Tech. Rep. MSR, Microsoft Research, 2014, 2014.

    research. microsoft. com/apps/pubs, Tech. Rep., 2014.

    Corrado, A. Davis, J. Dean, M. Devin et al., “Tensorflow: Largescale machine learning on heterogeneous systems, 2015,” Software available from tensorflow. org, vol. 1, 2015.

    R. Collobert, K. Kavukcuoglu, and C. Farabet, “Torch7: A matlablike environment for machine learning,” in BigLearn, NIPS Workshop, no. EPFL-CONF-192376, 2011.

    T. T. D. Team, R. Al-Rfou, G. Alain, A. Almahairi, C. Angermueller, D. Bahdanau, N. Ballas, F. Bastien, J. Bayer, A. Belikov et al., “Theano: A python framework for fast computation of mathematical expressions,” arXiv preprint arXiv:1605.02688, 2016.

    T. Chen, M. Li, Y. Li, M. Lin, N. Wang, M. Wang, T. Xiao, B. Xu, C. Zhang, and Z. Zhang, “Mxnet: A flexible and efficient machine learning library for heterogeneous distributed systems,” arXiv preprint arXiv:1512.01274, 2015.

    “Eigen,” http://eigen.tuxfamily.org/index.php, accessed: 2016-07-03.

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