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Neural networks are machine learning models that mimic the complex functions of the human brain. These models consist of interconnected nodes or neurons that process data, learn patterns and enable tasks such as pattern recognition and decision-making. Artificial Neural Networks (ANNs) are computer systems designed to mimic how the human brain processes information . Just like the brain uses neurons to process data and make decisions, ANNs use artificial neurons to analyze data, identify patterns and make predictions. An artificial neural network is an interconnected group of nodes , inspired by a simplification of neurons in a brain. Here, each circular node represents an artificial neuron and an arrow represents a connection from the output of one artificial neuron to the input of another. An Artificial Neural Network is a computational model inspired by the human brain's structure composed of interconnected nodes organised in layers. A computer system that mimics the information processing of the human brain is called an artificial neural network , or ANN.