Cost function in binary cross entropy Neural Networks

Shouldn’t the loss function be -
-np.mean(y_hot*np.log§ + (1-y_hot)*np.log(1-p))
where p is our prediction matrix

Hey @raunaqsingh10, the formula you have written is same as binary cross entropy. Which means on backend keras also implement the same thing as written by you.

Hope this resolved your doubt,
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