Dive into Deep Learning
Table Of Contents
Dive into Deep Learning
Table Of Contents

References

1

Christopher M Bishop. Pattern recognition and machine learning. springer, 2006.

2

B Bollobás. Linear analysis. Cambridge University Press, Cambridge, 1999.

3

Stephen Boyd and Lieven Vandenberghe. Convex Optimization. Cambridge University Press, Cambridge, England, 2004.

4

Ian Goodfellow, Yoshua Bengio, and Aaron Courville. Deep Learning. MIT Press, 2016. http://www.deeplearningbook.org.

5

Yehuda Koren. Collaborative filtering with temporal dynamics. In Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, 447–456. ACM, 2009.

6

Gerard Salton, Anita Wong, and Chung-Shu Yang. A vector space model for automatic indexing. Communications of the ACM, 18(11):613–620, 1975.

7

Larry Wasserman. All of statistics: a concise course in statistical inference. Springer Science & Business Media, 2013.

8

Chao-Yuan Wu, Amr Ahmed, Alex Beutel, Alexander J Smola, and How Jing. Recurrent recommender networks. In Proceedings of the tenth ACM international conference on web search and data mining, 495–503. ACM, 2017.