Activation Functions for Artificial Neural Networks Credit: Sebastian Raschka
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@PythonPr @grok branch and inspire understandings for us please even with new maths equations in formula experimentations with your presentations
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@PythonPr Activation functions aren’t just nonlinearities. They define the regime in which structure becomes learnable. The network isn’t approximating functions. It is discovering where input space transitions from irrelevant to informative. Learning is the recognition of state
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