Machine Learning, Signal Processing, Lms, Fft.
activation function, W is the weight matrix and b is the bias. We can immediately see that W is a 64 x 32 matrix, and b is a 32 x 1 vector. This gives us 32 x 64 + 32 = 2080 parameters to train for the first layer. The reader can do similar computations to verify the parameters for second and third