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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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Why does my loss value start at approximately -10,000 and my accuracy not improve?
You are using the sigmoid activation function on the output layer that squashes the values between 0 and 1, but you are setting the targets outside of that range. I suggest scaling your outputs betwee …