Generalization and Overfitting
By fitting complex functions, we might be able to perfectly match the training data with zero loss. In this video, we learn how to separate the data into training and evaluation data. If the training loss is better than the evaluation loss, our function is too complicated, and we are over-fitting to the training data. We should use cross validation to make sure that our model works just as well for unseen data.
Watch video Generalization and Overfitting online without registration, duration hours minute second in high quality. This video was added by user Computational Thinking 16 November 2022, don't forget to share it with your friends and acquaintances, it has been viewed on our site 5,78 once and liked it 11 people.