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A feed-forward neural network is a neural architecture in which information flows strictly in one direction, from input to hidden layers and finally to the output layer, without forming any cycles. Each neuron processes the weighted sum of its inputs and passes the result forward. There is no memory of past inputs, so the output depends only on the current input. Input Layer Hidden Layer Output Layer x₁ ───► ______ _______ ______ _________ __________ _______ _________.
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