January 2018
Intermediate to advanced
310 pages
7h 48m
English
Data augmentation gives ways to increase the size of the dataset. Data augmentation introduces noise during training, producing robustness in the model to various inputs. This technique is useful in scenarios when the dataset is small and can be combined and used with other techniques. Next, we will see the different types of augmentation.
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