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Data Augmentation - Why use data augmentation in CNN?
Answer
In Convolutional Neural Networks (CNN), data augmentation is used to introduce randomness and noise into the training data, helping to avoid overfitting. It also allows the model to simulate various scenarios and situations that it may come across in real-world applications, thereby ensuring it captures all relevant features and patterns.
