<ul><li>Image normalization is essential for training deep learning models.</li><li>Raw images with pixel values ranging from 0 to 255 can lead to unstable gradients and hinder learning.</li><li>Normalized pixel values in the range of 0 to 1 or -1 to 1 help stabilize the gradients and speed up training.</li><li>Image normalization improves model performance, makes training faster, and enables better feature recognition.</li></ul>

Understanding Image Normalization: The Key to Smoother Deep Learning Training

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