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On the same slide 4 Neural Networks 1 0 1 , what is the output of the softmax function when applied to the logit

On the same slide 4 "Neural Networks 101", what is the output of the softmax function when applied to
the logit (the L). How does the output of the softmax compares with previous logit functions like the
logistic for example, and what does this output represent ? mathematical function softmax and the one we saw in Skansi).
mathematical function softmax and the one we saw in Skansi).
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