This example shows a Multilayer Perceptron (MLP) as a fully connected, feed-forward neural network with an input layer, one or more hidden layers, and an output layer, where each neuron connects to every neuron in the next layer. It illustrates how data flows through successive layers and how MLPs are used for prediction, classification, and pattern recognition tasks.
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