Skip to Main Content
Practical Neural Network Recipies in C++
book

Practical Neural Network Recipies in C++

by Masters
June 2014
Intermediate to advanced content levelIntermediate to advanced
493 pages
20h 30m
English
Morgan Kaufmann
Content preview from Practical Neural Network Recipies in C++
484
Bibliography
Hornik, Kurt, Stinchcombe, Maxwell, and White, Halbert (1989).
"Multilayer Feedforward Networks are Universal Approxi-
mates."
Neural Networks, 2:5, 359-366.
Hornik, Kurt (1991). "Approximation Capabilities of Multilayer
Feedforward Networks." Neural Networks 4:2, 251-257.
Howell, Jim (1990). "Inside a Neural Network." AI Expert, (Novem-
ber),
29-33.
Ito,
Y. (1991a). "Representation of Functions by Superpositions of a
Step or Sigmoid Function and Their Applications to Neural
Network Theory." Neural Networks, 4:3, 385-394.
Ito,
Y. (1991b). "Approximation of Functions on a Compact Set by
Finite Sums of a Sigmoid Function withou ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Neural Networks with Keras Cookbook

Neural Networks with Keras Cookbook

V Kishore Ayyadevara
Scientific Computing with Python 3

Scientific Computing with Python 3

Claus Führer, Claus Fuhrer, Jan Erik Solem, Olivier Verdier
Mastering Java Machine Learning

Mastering Java Machine Learning

Uday Kamath, Krishna Choppella

Publisher Resources

ISBN: 9780080514338