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What is the reason for using the average of cross-entropy loss instead of its sum when training models like neural networks?

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What is the reason for using the average of cross-entropy loss instead of its sum when training models like neural networks?

Cross-entropy
Cross-entropy loss
Training models
Neural networks
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