Model Training and Evaluation -- Overfitting and Underfitting

#artificialintelligence 

Training your network the right way can make the difference between having a high-performance model, and having a failure of a model. There are several issues that may arise before and after training your network, that impairs its overall performance. However, the most well-known and also most prevalent issues are by far overfitting and underfitting.

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