
Loss Functions in Machine Learning
Loss functions are the processes that tell a machine learning network, during training, if it’s getting any better at making predictions. This article looks at the broad current landscape of loss functions, and some of the new trends that are emerging, such as a greater reliance on human-informed evaluation of images.