Hello,
I have two questions about the Autoencoder based signal (a vector here, considering an FC-autoencoder) reconstruction. I would be really thankful if anyone helps me through this.
1: does reconstruction error depend on vector size? (for example reconstruction a dataset with signals of 3 dimension like, [x1,x2,x3] versus 4 dimensional inputs like [x1,x2,x3,x4])

can we say that reconstruction error depends on the mean of the inputs? set of inputs with higher values (like [10,10,10] would show higher reconstruction error versus lower ranged inputs ( like [1,1,1])? if yes is it recommended to normalize data beforehand?

Thank you so much