>> Explain briefly what the Fourier Transform is. Provide sources with more information about the topic.
>> The Fourier transform is a mathematical technique that decomposes a function or signal into its constituent frequencies. It allows us to represent a function in terms of the frequencies that make it up, rather than in terms of its time or spatial behavior.
The Fourier transform has many applications in a variety of fields, including signal and image processing, engineering, and physics. It is a fundamental tool in the analysis of periodic phenomena and is widely used in the study of waves and oscillations.
For more information about the Fourier transform, you may find the following resources helpful:
> how deep learning works well enough to control it.
I don't think you can control it. Machine Learning models do not create anything, they make a prediction of the expected outcome based on the training/validation data. Similar to how human beings are an outcome of their experiences, so are ML models. Ofc human beings are much more complex than a ML model.
>> The Fourier transform is a mathematical technique that decomposes a function or signal into its constituent frequencies. It allows us to represent a function in terms of the frequencies that make it up, rather than in terms of its time or spatial behavior.
The Fourier transform has many applications in a variety of fields, including signal and image processing, engineering, and physics. It is a fundamental tool in the analysis of periodic phenomena and is widely used in the study of waves and oscillations.
For more information about the Fourier transform, you may find the following resources helpful:
Wikipedia: https://en.wikipedia.org/wiki/Fourier_transform
Khan Academy: https://www.khanacademy.org/math/differential-equations/lapl...
Wolfram MathWorld: http://mathworld.wolfram.com/FourierTransform.html