Deep Learning

딥러닝

  • Published : 2017.05.20

Abstract

Keywords

References

  1. LeCun, Y., Bengio, Y. and Hinton, G., 2015, Deep Learning, Nature, Vol. 521, pp. 436-444. https://doi.org/10.1038/nature14539
  2. LeCun, Y. and Bengio, Y., 1995, Convolutional Networks for Images, Speech, and Time Series, The Handbook of Brain Theory and Neural Networks, 3361(10).
  3. Jeong, H., Park, S., Woo, S. and Lee, S., 2016, Rotating Machinery Diagnostics Using Deep Learning on Orbit Plot Images, Procedia Manufacturing, Vol. 5, pp. 1107-1118. https://doi.org/10.1016/j.promfg.2016.08.083
  4. Graves, A., Mohamed, A. R. and Hinton, G., 2013, Speech Recognition with Deep Recurrent Neural Networks, In Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference, pp. 6645-6649.
  5. Noh, H., Hong, S. and Han, B., 2015, Learning Deconvolution Network for Semantic Segmentation, In Proceedings of the IEEE International Conference on Computer Vision, pp. 1520-1528.
  6. Kingma, D. P. and Welling, M., 2013, Autoencoding Variational Bayes, arXiv Preprint arXiv:1312.6114.