What are some effective techniques in data augmentation?
An example of an AI chatbot conversation about techniques in data augmentation.
What are some effective techniques in data augmentation?
Data augmentation techniques include rotation, flipping, scaling, and adding noise to images.
How does rotation help in improving model performance?
Rotation helps by providing the model with different perspectives of the same object, making it more robust.
Can you explain how adding noise works?
Adding noise simulates real-world variations, helping the model generalize better to unseen data.
Are there any specific libraries for implementing these techniques?
Yes, libraries like TensorFlow, Keras, and PyTorch offer built-in functions for data augmentation.
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