deep-learning

Loss functions are what make ANN (Artificial Neural Network) understand what is going wrong and how to get to that golden accuracy range, just like loss makes you cherish the profit and identify what went wrong.Cause profit will come after right?.. RIGHT??Now coming to the mathematical definition of the loss function, it is used to measure the inconsistency between the predicted value (^y) and the actual label (y). It is a non-negative value, where the robustness of the model increases along with the decrease of the value of the loss function.It’s straightforward actually, it’s basically how well your algorithm models the dataset, if its prediction is totally off, your loss function will output a higher number. If it is pretty good, it will output a lower number.In this article, they are d...