Meaning of Artificial Neural Network (ANN)

Simple definition

An Artificial Neural Network (ANN) is a computational model inspired by the human brain, consisting of layers of interconnected nodes (neurons) that can process data to recognize patterns and make predictions.

How to use Artificial Neural Network (ANN) in a professional context

ANNs are widely used in deep learning tasks such as image recognition, speech recognition, and natural language processing.

Concrete example of Artificial Neural Network (ANN)

A neural network is trained to recognize handwritten digits in images for an optical character recognition (OCR) system.

What are the main components of an ANN?

Layers (input, hidden, and output), neurons, weights, and activation functions.

How are ANNs trained?

By adjusting the weights through a process called backpropagation, using labeled data.

Are ANNs only used for classification?

No, they can be used for both classification and regression tasks.
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