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1. Increase the Diversity of Your Dataset with Data Augmentation

Author

David Paper

Subjects
Training set, business.industry, Computer science, Deep learning, Artificial intelligence, business, Machine learning, computer.software_genre, computer, Diversity (business)
Abstract

We guide you in the creation of augmented data experiments to increase the diversity of a training set by applying random (but realistic) transformations. Data augmentation is very useful for small datasets because deep learning models crave a lot of data to perform well.

Published
2021
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