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An activation function determines how a node responds to its inputs.
#ToDo Expand on the definition of Activation function.
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A function (for example, ReLU or sigmoid) that takes in the weighted sum of all of the inputs from the previous layer and then generates and passes an output value (typically nonlinear) to the next layer.
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