Hands-On Artificial Intelligence for Cybersecurity

NNs in a nutshell

NNs constitute a category of algorithms that try to imitate the learning mechanisms typical of the human brain, artificially reproducing its substrate, which is constituted by neurons.

There are different types of neural networks, but here we focus on two types in particular: the CNN, and the Feedforward Networks (FFN), which are the basis of CNNs; we start by describing FFNs.

The FFN is composed of at least three layers of neurons, divided as follows:

1. Input layer
2. Output layer
3. Hidden layer (one or more)

This layered organization of the FFN allows us to have a first layer for the management of input data, and a layer that returns the output results.

The individual neurons in the various layers connect directly to the adjacent ...