What are some examples of data augmentation techniques?
An example of an AI chatbot conversation about data augmentation techniques in machine learning.
What are some examples of data augmentation techniques?
Data augmentation techniques include rotation, flipping, scaling, and adding noise to images.
Can you explain how rotation works in data augmentation?
Rotation involves turning an image by a certain angle, which helps the model learn to recognize objects from different perspectives.
Are there any specific libraries I can use for data augmentation?
Yes, popular libraries include TensorFlow, Keras, and PyTorch, which have built-in functions for data augmentation.
How does data augmentation improve model performance?
It increases the diversity of the training dataset, helping the model generalize better and reducing overfitting.
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