Healthc Inform Res.  2016 Oct;22(4):351-354. 10.4258/hir.2016.22.4.351.

Book Review: Deep Learning

• Kim KG

• KMID: 2357390
• DOI: http://doi.org/10.4258/hir.2016.22.4.351

Abstract

No abstract available.

MeSH Terms

Learning*

Reference

1. Murphy KP. Machine learning: a probabilistic perspective. Cambridge (MA): MIT Press;2012.

2. Bishop CM. Pattern recognition and machine learning. New York (NY): Springer;2006. p. 98–108.

3. Le Cun Y, Jackel LD, Boser B, Denker JS, Graf HP, Guyon I, et al. Handwritten digit recognition: applications of neural network chips and automatic learning. IEEE Commun Mag. 1989; 27(11):41–46.

4. Rumelhart DE, Hinton GE, Williams RJ. Learning representations by back-propagating errors. Nature. 1986; 323(6088):533–536.

5. Ng A. Advice for applying machine learning [Internet]. Stanford (CA): Stanford University;2015. cited at 2016 Oct 22. Available from: http://cs229.stanford.edu/materials/ML-advice.pdf.

6. Hinton GE, Dayan P, Frey BJ, Neal RM. The "wakesleep" algorithm for unsupervised neural networks. Science. 1995; 268(5214):1158–1161.

7. Ghahramani Z, Hinton GE. The EM algorithm for mixtures of factor analyzers. Toronto, Canada: University of Toronto;1996.

8. Roweis ST, Saul LK, Hinton GE. Global coordination of local linear models. Adv Neural Inf Process Syst. 2002; 2:889–896.