When training my model in Keras after each epoch model outputs a values named "loss". I assume it somehow correlates with the accuracy of my model.
In short, loss is a sum of errors based on training and validation data. The less the sum of errors, the better your model is doing.
Thanks! Could you also explain how the loss is calculated?
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