Machine Learning, Signal Processing, Lms, Fft.
Note that this needs the model to be created outside the for loop, so that the weights are not reinitialized. See from model summary that there are almost 50,000 parameters for just a 64 point FFT. We can reduce this a bit since we are only evaluating real inputs while keeping the imaginary parts