What is a loss curve?
A plot of loss as a function of the number of training iterations.
loss curve explained in plain English
A plot of loss as a function of the number of training iterations. The following plot shows a typical loss curve: Loss curves can help you determine when your model is converging or overfitting. Loss curves can plot all of the following types of loss: - training loss - validation loss - test loss See also generalization curve. See Overfitting: Interpreting loss curves in Machine Learning Crash Course for more information.
Example
Practitioners refer to loss curve when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.
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