A Python PyTorch autoencoder can be used to create a data compression model by learning to reconstruct data with fewer bits than the original input. An example of this code is as follows: import torch ...

And that's it already for data preprocessing :-) Now, it's time to create the encoder. This is a three-step process ... cd to the folder where your Python file is located, and run it, e.g. python ...