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Post Info TOPIC: SoftPlus Activation Function | Learn CPlusPlus


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SoftPlus Activation Function | Learn CPlusPlus
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The SoftPlus activation function, defined as \( f(x) = \ln(1 + e^x) \), provides a smooth, differentiable alternative to the ReLU function. It transforms inputs into positive outputs, avoiding the "dying ReLU" problem. SoftPlus is widely used in neural networks to ensure non-linearity, supporting gradient-based optimization and improving model performance in deep learning tasks.  If you want to learn more about the SoftPlus activation function, please visit our website.



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