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| | Sigmoid function (aka logistic function) is moslty picked up as activation functionin neural networks.Because its derivative is easy to demonstrate. It produces output in scale of [0 ,1] whereas input is meaningful between [-5, +5]. Out of this range produces same outputs.In this post, we'll mention the proof of the derivative calculation. Sigmoid function is...
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| | For XingfuMama's Pull up a seat Photo Challenge
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| | Scientists tend to consume activation functions which have meaningful derivatives. That's why, sigmoid and hyperbolic tangent functions are the most common activation functions in literature. Herein, softplus is a newer function than sigmoid and tanh.
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| Metal Detectors In Movie Theaters.