# What is Neural Networks?

*Artificial Intelligence · Last updated: September 27, 2026*

An artificial intelligence structure that processes information in layers, inspired by the way the human brain works.

## Overview

It is an architecture formed by the interconnection of artificial neurons, capable of analyzing complex data. It takes input data, passes it through hidden layers to make sense of it, and produces a result.

***Analogy:** It is similar to a human chain holding hands to solve a puzzle; everyone solves a small piece and a meaningful result reaches the very end.*

## How it works

Data is transmitted between artificial neurons via weights, with each layer processing the information coming from the previous step in a bit more detail.

## Where it is used

It is actively used in image recognition, audio processing, and as the foundation of large language models.

## Commonly confused with

Unlike the general concept of artificial intelligence, this is the concrete mathematical and architectural structure that constitutes that intelligence.

## Questions and answers

**Does it work the exact same way as a real brain?**

It is only inspired by it; it is not biologically identical.

## Related terms

- [Transformer](https://trescout.com/en/dictionary/transformer/)
- [Deep Learning](https://trescout.com/en/dictionary/deep-learning/)
- [Machine Learning](https://trescout.com/en/dictionary/machine-learning/)

## Related tools

- [Tensorflow](https://trescout.com/en/discover/tensorflow/)
- [Pytorch](https://trescout.com/en/discover/pytorch/)

This explanation was written in plain language for TreScout with AI and **machine-translated** from the Turkish original · the Turkish version prevails. If something looks wrong or missing, write to [hello@trescout.com](mailto:hello@trescout.com). [Read in Turkish →](https://trescout.com/dictionary/neural-networks/)

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Source: TreScout Dictionary · https://trescout.com/en/dictionary/neural-networks/