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Neural Networks is a branch of Artificial Intelligence that deals with the design and implementation of artificial neural systems, inspired by the structure and function of biological neural networks. These networks are composed of interconnected nodes or "neurons" that process information using algorithms designed to simulate the way in which the human brain processes information. Neural Networks can be applied to a wide range of tasks, including pattern recognition, prediction, data compression, and control. In the context of Computer Science Books and Software Engineering, Neural Networks are a powerful tool for solving complex problems that require learning from large amounts of data. They are used in various applications such as image and speech recognition, natural language processing, and autonomous systems. In Business Books, Neural Networks can be applied to decision making, risk management, and financial forecasting. Neural Networks' branch under Artificial Intelligence, Computer Science Books, Software Engineering and Business books, is a key component of the field of Artificial Intelligence, providing a means of implementing intelligent systems that can learn from experience and adapt to new situations. This branch of study offers a unique perspective on how to build intelligent systems by combining insights from neuroscience, mathematics, and computer science.