What is the function of artificial neural networks?

Path to a High-Paying AI Jobs: Key Interview Questions and Expert Answers

This article is the series of Path to a High-Paying AI Jobs: Key Interview Questions and Expert Answers Index Article. You can find Key Interview Questions that are highly asked on High-Paying AI Job Interviews and links to expert answer articles from that page.

Function of Artificial Neural Networks (ANNs)

Artificial Neural Networks (ANNs) are a class of machine learning algorithms inspired by the structure and functioning of the human brain.

Their primary function is to model complex relationships between inputs and outputs by learning from data. ANNs are used to solve a wide variety of tasks, including classification, regression, clustering, pattern recognition, and more. They are particularly well-suited for handling tasks where the underlying relationships in the data are non-linear or difficult to model with traditional statistical methods.

Key Functions of Artificial Neural Networks:

1. Pattern Recognition:

Function: One of the core functions of ANNs is pattern recognition. They can detect patterns and correlations in input data and use this information to make predictions or classifications. For example, ANNs are commonly used in image recognition…