ANN

What Does ANN Mean?

The Quick Answer

Artificial Neural Networks (ANNs) are computer systems that mimic the human brain. They learn from data and are used in things like image recognition and predictions.

In Detail

The term "Artificial Neural Networks" and the abbreviation ANN are used to refer to computing systems inspired by the human brain's interconnected neuron structure. Composed of nodes or "neurons," ANNs process information by transmitting signals through layers. These layers include an input layer to receive data, hidden layers to process it, and an output layer to deliver the final prediction or classification. Weights and biases are adjusted during training, allowing the network to "learn" from data. ANNs are fundamental to machine learning (ML) and are used in various applications, such as image and speech recognition, medical diagnosis, and financial forecasting. Their ability to detect complex patterns makes them a powerful tool in modern AI.

Learn More

Check out our comprehensive glossary of AI terms.

Image for ANN

When I write ANN, I mean this:

"Artificial Neural Networks"

Summary of Key Points

We have summarized the key points in the table below:

ANN
Definition:	Artificial Neural Networks
Type:	Acronym
Guessability:	4: Difficult to guess
Typical Users:	Specialists

Example of ANN Used in a Text

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