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What is the difference between a feedforward neural network and a recurrent neural network?

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A feedforward neural network processes data from input to output in a linear manner, without any loops or feedback connections. A recurrent neural network, on the other hand, has loops and feedback connections, which allow it to process sequential data and maintain information over time.

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