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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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Understanding Loss function and Learning Algorithm

In Keras, when specifying a loss such as Mean absolute error, does it replace the cost function in the learning algorithm (Adam or SGD) with the mean absolute error? I'm new to ML and a bit confused o …
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