Why are the outputs not probabilities?

I don’t understand what does this part want to say? Maybe I missed some knowledge before. Pls let me know, thanks in advance

@Nhat_Minh The Improved implementation of softmax video should help

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Probability is defined as P(x) \in [0,1].
But, output from the last neuron, called “logits”, may be like 5,10, … So, if you want to have probabilities, then, apply Softmax to normalize those.

A numerical stability concern is about exponential which is easily overflowed, and used by Softmax. That is well explained in the video that vignesh18 pointed.

Hope this helps.

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