Why does TensorFlow have Focal Loss < span > official implementation < / span > < / a > - < a href="https://tensorflow.google.cn/api_docs/python/tf/keras/losses/BinaryFocalCrossentropy" Target = "_blank" > < span > tf. Keras. Losses. BinaryFocalCrossentropy < / span > < / a >, but not for more than the official implementation of classification problem?
Is it because there are other Loss functions that can replace the Focal Loss function for multi-classification problems, or is the Focal Loss function for multi-classification problems not easy to use, or is it simply too busy to write, or some other reason?
0 Answer
TensorFlow provides multiple Loss functions for multiple classification problems, not just Focal Loss, Such as Categorical Crossentropy, Kullback-Leibler Divergence and so on. This is probably the reason why there is no official implementation of Focal Loss, as other Loss functions do multi-classification tasks well and are probably easier to use than Focal Loss.
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