Author:
Scharzenberger Cody,Hunt Alexander
Publisher
Springer Nature Switzerland
Reference7 articles.
1. Lecture Notes in Computer Science;L Bottou,2012
2. Hecht-Nielsen, R.: Theory of the backpropagation neural network. In: Neural Networks for Perception, pp. 65–93. Elsevier (1992). https://linkinghub.elsevier.com/retrieve/pii/B9780127412528500108
3. Keckler, S.W., Dally, W.J., Khailany, B., Garland, M., Glasco, D.: GPUs and the future of parallel computing. IEEE Micro 31(5), 7–17 (2011). http://ieeexplore.ieee.org/document/6045685/
4. Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization. arXiv:1412.6980 [cs] (2017)
5. Mukkamala, M.C., Hein, M.: Variants of RMSProp and Adagrad with Logarithmic Regret Bounds (2017)