References

Key papers in the development of deep learning (1958 - 2017)

Key deep learning books and online resources

Futher deep learning papers

Other useful literature (not focusing just on deep learning)

More references

Bertsekas, Dimitri P. 2005. Dynamic Programming and Optimal Control. Vol. I. Third. Athena Scientific, Belmont, MA.

Boyd, Stephen, and Lieven Vandenberghe. 2004. Convex Optimization. Cambridge University Press, Cambridge. https://doi.org/10.1017/CBO9780511804441.

Kochenderfer, Mykel J., and Tim A. Wheeler. 2019. Algorithms for Optimization. The MIT Press.

Nesterov, Yurii. 2004. Introductory Lectures on Convex Optimization. Vol. 87. Applied Optimization. Kluwer Academic Publishers, Boston, MA. https://doi.org/10.1007/978-1-4419-8853-9.

Puterman, Martin L. 2014. Markov Decision Processes: Discrete Stochastic Dynamic Programming. John Wiley & Sons.

Sundaram, Rangarajan K. 1996. A First Course in Optimization Theory. Cambridge University Press, Cambridge. https://doi.org/10.1017/CBO9780511804526.

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