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A function used to quantify the difference between observed data and predicted values according to a model. Minimization of loss functions is a way to estimate the parameters of the model.

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Dense output from neural network

I would like to create a loss function that encourages the output of the embedding of an autoencoder to be dense. I don't have an explicit condition for how density is defined, but one option would be …
Kevin Johnston's user avatar