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How would you preprocess image data for training a CNN?
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Answer / Avanish Kumar Pandey
Preprocessing image data is crucial for training convolutional neural networks (CNNs). Steps often include resizing images to a consistent size, normalizing pixel values, augmenting the dataset through techniques like rotation, flipping, and scaling to improve generalization, and one-hot encoding or label binarization for multi-class classification problems.
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