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Neural Networks, as a component of Computer Vision within Machine Learning Methods and Artificial Intelligence Algorithms, are algorithms inspired by the structure and function of the human brain. They consist of interconnected layers of nodes, or "neurons," which process and transmit information. In the context of Computer Vision, Neural Networks are used to analyze and interpret visual data, such as images and videos. They can be trained to recognize patterns, classify objects, and detect anomalies, making them a powerful tool for applications such as image recognition, autonomous vehicles, and medical imaging analysis. These networks are a key element in the advancement of Artificial Intelligence, enabling technology to perform tasks that would otherwise require human intelligence.