What is the role of activation function?
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Answer / Tarun Pal
An activation function introduces non-linearity in artificial neural networks. It transforms the summed weighted input from the previous layer into an output signal that can be passed to the next layer. Common activation functions include the sigmoid, ReLU, and tanh functions.
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