The neural network’s output is determined by activation functions. It is used to assess a model’s correctness as well as its computational effectiveness. They also have a significant impact on the evolution of neural networks and the rate of convergence. Activation mechanisms may occasionally stop neural networks from convergent.
Source: https://insideaiml.com/blog/Activation-Functions-in-Neural-Network-1033
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