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Activation function: Difference between revisions
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The [[softmax]] function is a popular activation function used in the [[output layer]] of neural networks for [[multi-class classification]] problems. This activation function maps input into an interval probability distribution over output [[class]]es. | The [[softmax]] function is a popular activation function used in the [[output layer]] of neural networks for [[multi-class classification]] problems. This activation function maps input into an interval probability distribution over output [[class]]es. | ||
== | ==Explain Like I'm 5 (ELI5)== | ||
Activation functions are like special glasses that help computers see better. They alter pictures, sounds, or other items by altering their hue or brightness; this makes it easier for the computer to differentiate what the picture or sound is and how best to process it. Different glasses are used for various tasks like seeing colors or finding loudest noise. | Activation functions are like special glasses that help computers see better. They alter pictures, sounds, or other items by altering their hue or brightness; this makes it easier for the computer to differentiate what the picture or sound is and how best to process it. Different glasses are used for various tasks like seeing colors or finding loudest noise. | ||
[[Category:Terms]] [[Category:Machine learning terms]] | [[Category:Terms]] [[Category:Machine learning terms]] | ||