Neural Network
A neural network is a type of machine learning algorithm that is modeled after the structure and function of the human brain. It is composed of layers of interconnected nodes, or neurons, that process and transmit information. Each neuron receives input from other neurons, processes that input, and then sends output to other neurons. Neural networks are trained using large amounts of data to learn patterns and relationships in the data, and can be used for tasks such as image recognition, natural language processing, and predictive analytics. They are particularly useful for complex problems where traditional algorithms may not be effective. Neural networks can be supervised, unsupervised, or semi-supervised, depending on the type of training data used.
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