I'm training a classification deep neural network. The final layer activation is a sigmoid. What loss function (or other training tehniques) should I use to ensure that the optimal threshold (chosen by NAME_1. F1 score on validation) is as close as possible to 0.5? In your entire response, the letter x should appear less than 9.
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