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Suppose I build a FNN model. The last layer is a classification layer with softmax activation.
A cross-entropy loss is used to classify a problems, such as logistic regression. How would I calculate the cross entropy loss ?

But I can not fully understand the cross-entropy loss Please any convenient explanation

Thanks in advance

J123
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    Does this answer your question? [Cross-entropy loss explanation](https://datascience.stackexchange.com/questions/20296/cross-entropy-loss-explanation) – Tom Tseng Feb 15 '21 at 06:16

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