How to Improve Your Machine Learning Model With TensorFlow’s Data Augmentation

Data augmentation is the process of applying various transformations to the training data. It helps increase the diversity of the dataset and prevent overfitting. Overfitting mostly occurs when you have limited data to train your model.

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