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Why is Fourier transform used in Deep Learning?

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 Why is Fourier transform used in Deep Learning?

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Fourier transform is an effective package used for analyzing and managing large amounts of data present in a database. It can take in real-time array data and process it quickly. This ensures that high efficiency is maintained and also makes the model more open to processing a variety of signals.

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