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++
Using
the
NEURAL
Program
413
tion methods. Note that if KOHONEN model weights are restored and
LEARN restarted, the error may exceed that listed as the previous
final result due to the fact that weights were normalized before being
saved.
The execution results of a trained network can be saved to disk
also.
The first step is to provide the name of the ASCII text file to
which the results will be written. The command is
OUTPUT FILE:fîlename. That command does not actually do
anything. It simply tells the program that from now on (until another
OUTPUT FILE command appears), all execution results are to be
appended to that file. Then, one or mor ...
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