Archives for fourier transform machine learning
Convolutional Neural networks (CNNs) have a large number of variables and, as a result, are difficult to implement. Various methods and techniques, such as quantization and pruning, have been developed to address the issue of CNN complexity.
Fourier transform is a transformation technique that transforms such functions which are depending on the time domain into such function which depends on the temporal frequency domain