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A quite useful site is this https://machinelearningmastery.com/learning-curves-for-diagnosing-machine-learning-model-performance/. Some other things that you could do in order to avoid overfitting is: early stoping, plot the accuracy of validation and test data sets over the time and when the validation accuracy becomes much better stop training your model. ...


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