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Deep Learning for Numerical Applications with SAS
book

Deep Learning for Numerical Applications with SAS

by Henry Bequet
July 2018
Intermediate to advanced content levelIntermediate to advanced
234 pages
6h 5m
English
SAS Institute
Content preview from Deep Learning for Numerical Applications with SAS

References

Adhinarayanan, V., T. Koehn, K. Kepa, W.-C. Feng and P. Athanas. 2014. On the performance and energy efficiency of FPGAs and GPUs for polyphase channelization. International Conference on Reconfigurable Computing and FPGAs, December 8–10, 2014, Cancun, Mexico.

Arnow, B. J. 1994. On Laplace's extension of the Buffon needle problem. The College Mathematics Journal 25(1):40–43.

Badger, L. 1994. Lazzarini's lucky approximation of π. Mathematics Magazine 67(2):83–91.

Bequet, H. and H. Chen. Accelerate your SAS Programs with GPUs. Paper SASSD706-2017. Proceedings of the SAS Global Forum 2017 Conference. Available at: http://support.sas.com/resources/papers/proceedings17/SASSD0706-2017.pdf (accessed 18 June 2018).

Bressloff, P.C. 2014. ...

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Publisher Resources

ISBN: 9781635266771