The Binary Cross-Entropy (BCE) loss is an important factor in machine learning, especially for binary classification problems, and can often determine the success or failure of your model. In this guest post, we’ll delve into the details of BCE loss to better appreciate its importance and discover how it might strengthen your classification models. […]