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=== Folding activation functions ===
{{Main|Fold function}}
Folding activation functions are extensively used in the [[Pooling layer|pooling layers]] in [[convolutional neural network]]s, and in output layers of [[multiclass classification]] networks. These activations perform [[Aggregate function|aggregation]] over the inputs, such as taking the [[mean]], [[minimum]] or [[maximum]]. In multiclass classification the [[Softmax function|softmax]] activation is often used.
=== Table of activation functions ===
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