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Definition: neural network


An artificial intelligence (AI) architecture loosely based on the behavior of neurons in the human brain. The neural network is used in image, language and speech recognition, text-to-speech conversion, robotics, diagnosing and forecasting. Unlike regular applications that are programmed to deliver precise results (if this, do that), neural networks are trained with millions and billions of examples of media (text, images, etc.). They can even adapt beyond the training stage while doing the work they were designed for (see liquid neural network).

The foundation of "machine learning" and "deep learning", neural networks are much more complicated than normal business logic. For an image recognition example, see convolutional neural network. See neuron, deep learning, GAN, neuroinformatics, machine learning, TensorFlow and AI.

The following diagrams from the Asimov Institute in the Netherlands reveal the huge variety of neural network architectures that have been conceived.
















Neural Network Architectures
AI networks are one of the most researched areas of computing in the 21st century. (Images courtesy of Fjodor van Veen and Stefan Leijnen (2019). The Neural Network Zoo.)