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The Number Game Behind Advanced Activation Functions In Machine Learning

With artificial intelligence being implemented in almost every sector, it is important to understand the maths behind how it functions so accurately. Activation functions are at the end of every hidden layer of a neural network and it plays a key part in updation of weights. The main function is to introduce a non-linearity in the model, calculate, and decide what has to be sent to the output and what needs to be discarded.

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November 29, 2018
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