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2 votes

Why softmax training is more stable

The short answer is: Yes, it is easier to train a model using SoftMax for multiclass classification compared to sigmoid, and SoftMax generally yields better results (lower loss and higher accuracy). ...
Lynchian's user avatar
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5 votes
Accepted

Which activation function for multi-class classification gives true probability (softmax vs sigmoid)

They don't represent true probability because you'd still have to calibrate your model. Let's imagine you're trying to classify cats and dogs in a given set of images (binary classification problem, ...
Gabriel Ribeiro C.'s user avatar

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