Neural networks, also known as artificial neural networks (ANNs) or simulated neural networks (SNNs), are a subset of machine learning and are at the heart of deep learning algorithms. Their name and structure are inspired by the human brain, mimicking the way that biological neurons signal to one another. Neural networks are used for a wide variety of tasks, including image recognition, natural language processing, predictive modeling, and many other complex problems where patterns need to be identified in large datasets. They work by processing data through interconnected nodes (neurons) arranged in layers, where each connection has a weight associated with it that is adjusted during the learning process.
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