Gradient Descent, Machine Learning.
be as close to 1 as possible. That is, we want to maximize the probability p(yᵢ=1 | xᵢ). On the other hand, if it is a negative close, we want the above prediction to be as close to 0 as possible. The cross entropy loss gives us just this. You would often see the formula below where the negative