Neural Networks
Neural Networks are a set of algorithms that are modeled after the structure and function of the human brain. They are used in machine learning and artificial intelligence to recognize patterns and make predictions based on input data. Neural Networks consist of layers of interconnected nodes, or neurons, that process information and pass it on to the next layer. Each neuron receives input from multiple sources, applies a mathematical function to the input, and produces an output that is passed on to the next layer. The strength of the connections between neurons is adjusted during training to optimize the network's performance. Neural Networks can be used for a variety of tasks, such as image and speech recognition, natural language processing, and predictive analytics.
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