Neural Networks

Introduction to neural networks

In artificial intelligence, particularly in neural networks, a neural link is the connection between two artificial neurons (nodes). It is essentially bridge that carries information from one neuron to the next. These links are essential because they determine how the network processes information.

How it works:

Neurons (nodes): Each neuron receives input, does a calculation, and passes an output.

Links (connections): A neural link carries the output from one neuron to the next neuron. It’s not just a simple line—each link has a weight that decides how strong the signal is.

Weights and learning:

If the AI makes a mistake, it adjusts the weights on the links. Stronger weights mean the signal has more influence; weaker weights mean less influence. This adjustment is how AI learns patterns in data.

Example

Input: picture of a cat

Processing: detects edges, shapes, pattern

Output: “This is a cat”