Max Scheler
Gesellschaft

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A beginner's guide to the mathematics of neural networks

A C C Coolen

pp. 13-70

Abstrakt

A description is given of the role of mathematics in shaping our understanding of how neural networks operate, and the curious new mathematical concepts generated by our attempts to capture neural networks in equations. A selection of relatively simple examples of neural network tasks, models and calculations, is presented.

Publication details

Published in:

Landau L. J., Taylor John G (1998) Concepts for neural networks: a survey. Dordrecht, Springer.

Seiten: 13-70

DOI: 10.1007/978-1-4471-3427-5_2

Referenz:

Coolen A C C (1998) „A beginner's guide to the mathematics of neural networks“, In: L. J. Landau & J.G. Taylor (eds.), Concepts for neural networks, Dordrecht, Springer, 13–70.