When Should Binary Cross Entropy Be Used?
It's crucial to have some sense of direction and progress toward completion while working on a project. Our future steps cannot be made without this data. The same may be said for the ML models. It is assumed that an apple or orange displayed to a model during training for a classification task is, in fact, an apple or orange. After the model has produced a result, it becomes difficult to...
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