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Neural networks are a subset of machine learning inspired by the structure and function of the human brain. They consist of interconnected layers of nodes, or "neurons," that process and transmit information. These networks are capable of learning from vast amounts of data, identifying patterns, and making predictions or decisions based on that information. Their versatility makes them suitable for various applications, including image and speech recognition, natural language processing, and more.The architecture of neural networks allows them to adapt and improve over time through a process known as training. During this phase, the network adjusts its parameters to minimize errors in its predictions. As a result, neural networks have become pivotal in advancing artificial intelligence, driving innovations across numerous fields and enhancing the capabilities of technology in our everyday lives.
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