Auto encoder and decoder on numerical data-set
Sure you can apply classical Autoencoders to numerical data. In its simplest form its just a matrix multiplication to a lower dimensional space and then a matrix multiplication to the original space and a L2-Loss based on the reconstruction and the input. You could start from there and add layers if your performance is insufficient.
i am working on cryptography.The data set i am using is numerical data to resolve the dimensional reduction issue i want to apply auto encoder and decoder neural network. is it possible to apply Auto Encoder on numerical data set if yes then how?