Starting with multilayer perceptrons
This section will focus on extending the logistic regression concept to neural networks.
Note
The neural network, also known as Artificial neural network (ANN), is a computational paradigm that is inspired by the neuronal structure of the biological brain.
Getting ready
The ANN is a collection of artificial neurons that perform simple operations on the data; the output from this is passed to another neuron. The output generated at each neuron is called its activation function. An example of a multilayer perceptron model can be seen in the following screenshot:
An example of a multilayer neural network
Each link in the preceding figure is associated to weights processed by a neuron. Each neuron can be looked at as a processing unit that takes input processing and the output is passed to the next layer, as shown in the following screenshot:
An example of a neuron getting three inputs and one output
The preceding figure demonstrates three inputs combined at neuron...