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Interpreting Learning Curves with Training and Dev Error
Plotting both training error and dev error on the same learning curve makes it easier to extrapolate dev-error behavior. Looking at the full curve gives a more comprehensive picture of algorithm performance across different training-set sizes than measuring training and dev error only at the largest available training set size.
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Machine Learning
Deep Learning
Supervised Learning
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