This is the symbol for a loss function. It is a function that calculates how wrong a model's inference is compared to where it should be.
This is the symbol for a loss function. It is a function that calculates how wrong a model's inference is compared to where it should be. It typically represents some kind of "distance" between a predicted value and the "ground truth".
The symbol for a loss function is \(L\). It is a function that calculates how wrong a model's inference is compared to where it should be. It typically represents some kind of "distance" between a predicted value and the "ground truth". Examples include Adam and Binary Cross Entropy (BCE).