January 2019
Intermediate to advanced
390 pages
9h 16m
English
Content preview from Hands-On Artificial Intelligence for IoT
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Overfitting
Sometimes the model tries to overfit the training dataset; in doing so, it loses its ability to generalize and hence performs badly on the validation dataset; this in turn will affect its performance on unseen data values. There are two standard ways to take care of overfitting: regularization and cross-validation.
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