This project features an autoencoder model trained to encode, compress, and decode hand-written digits. There are two files, model_functions.py which contains the functions and structure of the model.

This repository provides a guide for implementing and training a sparse autoencoder using PyTorch. This will save the trained model as sparse_autoencoder.pth. Monitor the loss values printed to the ...