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Neural Network Console provides basic loss functions such as SquaredError, BinaryCrossEntropy, and CategoricalCrossEntropy, as layers. However, depending on the problem, there are many cases in which you need to optimize using original loss functions. This tutorial explains how to define your own loss functions that are not available in Neural Network Console and use them in training.   1. Which value is handled as loss? Before explaining how to define loss functions, let’s review how loss functions are handled on…