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Artificial neural networks (ANNs) are a broad class of computational models loosely based on biological neural networks. They encompass feedforward NNs (including "deep" NNs), convolutional NNs, recurrent NNs, etc.

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Comprehensive list of activation functions in neural networks with pros/cons

I don't think that a list with pros and cons exists. The activation functions are highly application dependent, and they depends also on the architecture of your neural network (here for example you s …
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