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that processes the inputs received from the input layers before passing them to the output layer. An example of a neural network utilizing a hidden layer is the
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The weighted inputs can be randomly assigned. They can also be fine-tuned and calibrated through what is called
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Effects of Hidden Layers on the
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to the inputs and passing them through what is called an
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