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 ...

In this article, we only focus on a simple VAE in PyTorch and visualize its latent representation after training on the MNIST dataset. Let’s begin by importing some libraries: import torch import ...

📚 Free Hands-on Tutorial: Data Science Project 3: LSTM Autoencoder, CNN, Isolation Forest Time Series Anomaly Detection [2024] ----- In a Nutshell: ♔ Transform your Data Science skills using this End ...