1. Abadi M, Agarwal A, Barham P, Brevdo E, Chen Z, Citro C, Corrado GS, Davis A, Dean J, Devin M, Ghemawat S, Goodfellow I, Harp A, Irving G, Isard M, Jia Y, Jozefowicz R, Kaiser L, Kudlur M, Levenberg J, Mané D, Monga R, Moore S, Murray D, Olah C, Schuster M, Shlens J, Steiner B, Sutskever I, Talwar K, Tucker P, Vanhoucke V, Vasudevan V, Viégas F, Vinyals O, Warden P, Wattenberg M, Wicke M, Yu Y, Zheng X (2015) TensorFlow: large-scale machine learning on heterogeneous systems.
http://tensorflow.org/
, software available from tensorflow.org
2. Akhtar N, Mian A (2018) Threat of adversarial attacks on deep learning in computer vision: a survey.
arXiv:1801.00553
3. Alipanahi B, Delong A, Weirauch MT, Frey BJ (2015) Predicting the sequence specificities of dna-and rna-binding proteins by deep learning. Nat Biotechnol 33(8):831–838
4. Alshammari R, Zincir-Heywood AN (2011) Can encrypted traffic be identified without port numbers, ip addresses and payload inspection? Comput Netw 55(6):1326–1350
5. Auld T, Moore AW, Gull SF (2007) Bayesian neural networks for internet traffic classification. IEEE Trans Neural Netw 18(1):223–239