Practical Artificial Intelligence: Machine Learning, Bots, and Agent Solutions Using C#

© Arnaldo Pérez Castaño 2018

Arnaldo Pérez CastañoPractical Artificial Intelligencehttps://doi.org/10.1007/978-1-4842-3357-3_11

11. Neural Networks

Arnaldo Pérez Castaño¹ 

(1)

Havana, Cuba

 

In this chapter, we will be discussing artificial neural networks, a family of algorithms very popular in the area of supervised learning (and also applicable to unsupervised learning and reinforcement learning) that try to mimic or model the human brain’s functioning to solve problems that, as with SVMs and DTs, rely on learning or approximating a function F defined by a table of training data in the form of pairs (data, classification). This function F is the result of the learning process and is known as the approximated or learned function. It is later used ...