References

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2. I. Goodfellow, Y. Bengio, and A. Courville, Deep Learning. Cambridge, MA, USA: MIT Press, 2016.
3. M. A. Nielsen, Neural Networks and Deep Learning. Determination Press (online), 2015.
4. A. Gulli and S. Pal, Deep Learning with Keras. Birmingham, UK: Packt Publishing, 2017.
5. D. P. Kingma and J. Ba, "Adam: A Method for Stochastic Optimization," in Proc. International Conference on Learning Representations (ICLR), San Diego, CA, USA, 2015.
6. G. E. Hinton, N. Srivastava, and K. Swersky, "Neural Networks for Machine Learning — Lecture 6a: Overview of Mini-Batch Gradient Descent," Coursera Online Lecture Notes, University of Toronto, 2012. [Introduces RMSprop]
7. R. A. Fisher, "The use of multiple measurements in taxonomic problems," Annals of Eugenics, vol. 7, no. 2, pp. 179–188, 1936.