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++
78
Chapter
6
Basic Architecture
A multilayer feedforward network consists of a set of neurons that Eire
logically arranged into two or more layers. There is an input layer and
an output layer, each containing at least one neuron. Neurons in the
input layer are hypothetical in that they do not themselves have
inputs, and they do no processing of any sort. Their activation
(output) is defined by the network input. There are usually one or
more "hidden" layers sandwiched between the input and output layers.
The term "feedforward" means that information flows in one direction
only. The inputs to neurons in each layer come exclusively from the
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