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Neural Network

A neural network is a series of algorithms that endeavors to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates. Neural networks are composed of layers of interconnected nodes or neurons, each layer transforming the input data before passing it on to the next layer.

How Neural Networks Work

Neural networks are used for a variety of machine learning tasks, including classification, regression, and even generative modeling. The process involves feeding data into the input layer, which then propagates through one or more hidden layers, and finally produces an output. Each neuron in these layers applies a transformation to its input data and passes the result to the next layer. The strength of the connections (weights) between neurons is adjusted during training to minimize the difference between the network's output and the actual target values.

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