Loss 
======

Binary Cross Entropy 
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.. math:: 

    L(y, \hat{y}) = y * log (\hat{y}) + (1-y) * log (1 - \hat{y})

Multiclass Cross Entropy AKA negative log likelihood loss
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.. math::  
    
    -log(\hat{y}_c)

Where c is the correct class

Excercises
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* Derive 'em