How To Measure Learning Loss
In the loss schemes well look at here the generator and discriminator losses derive from a single measure of distance between probability distributions. A loss function is for a single training example while a cost function is an average loss over the complete train dataset.
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In both of these schemes however the generator can only affect one term in the distance measure.
How to measure learning loss. Loss functions are different based on your problem statement to which machine learning is being applied. The cost function is another term used interchangeably for the loss function but it holds a slightly different meaning.
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