Funder
U.S. Department of Energy
United States Department of Defense | United States Air Force | AFMC | Air Force Office of Scientific Research
Texas A and M University
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Instrumentation,Electronic, Optical and Magnetic Materials
Reference50 articles.
1. Krizhevsky, A., Sutskever, I. & Hinton, G. E. ImageNet classification with deep convolutional neural networks. In Advances in Neural Information Processing Systems 60, 84–90 (ACM, 2012).
2. LeCun, Y., Bengio, Y. & Hinton, G. E. Deep learning. Nature 521, 436–444 (2015).
3. Rumelhart, D. E., Hinton, G. E. & Williams, R. J. Learning representations by back-propagating errors. Nature 323, 533–536 (1986).
4. LeCun, Y. et al. Backpropagation applied to handwritten zip code recognition. Neural Comput. 1, 541–551 (1989).
5. Thompson, N. C., Greenewald, K., Lee, K. & Manso, G. F. The computational limits of deep learning. Preprint at https://arxiv.org/abs/2007.05558 (2020).
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