Using the Documentation
The neuron model and the architecture of a neural network describe how a
network transforms its input into an output. This transformation can be
viewed as a computation.
This first chapter gives you an overview of the Neural Network Toolbox™
product and introduces you to the following tasks:
•Training a neural network to fit a function
•Training a neural network to recognize patterns
•Training a neural network to cluster data
These next two chapters explain the computations that are done and pave the
way for an understanding of training methods for the networks. You should
read them before advancing to later topics:
•Chapter 2, “Neuron Model and Network Architectures,” presents the
fundamentals of the neuron model, the architectures of neural networks. It
also discusses the notation used in this toolbox.
•Chapter 3, “Perceptrons,” explains how to create and train simple networks.
It also introduces a graphical user interface (GUI) that you can use to solve
problems without a lot of coding.
