What is Neural Networks?
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.
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
Related tools
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. Read in Turkish →