Gaussian noise is a statistical noise that has a probability density function (PDF) equal to that of the normal distribution, characterized by its bell-shaped curve. In the context of autoencoders for dimensionality reduction, Gaussian noise can significantly impact the performance of models, affecting how well they can reconstruct the input data and learn meaningful representations. This type of noise is often used in training to make models more robust and to prevent overfitting.
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