Abstract
Deep learning is an intrinsic learning style and representation through which knowledge acquired helps interpret data such as words, images and sounds. The ultimate aim is to enable computers to analyse and recognize data, such as words, images and sounds, in the same way as humans. In artificial intelligence, loss function is a very effective method. In the deep study, the loss function is used to determine the relationship between the target and the prediction. This paper analyzes and summarizes the loss functions in face recognition, object detection and face recognition, and focuses on some key loss functions.
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