GitHub / sarojinisharon / Autoencoder-and-Variational-Autoencoder-Exploration-with-Fashion-MNIST
This project implements and compares Autoencoders (AEs) and Variational Autoencoders (VAEs) using the Fashion MNIST dataset. The project is ideal for those seeking to understand and apply deep learning techniques in unsupervised learning.
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Python
Size: 0 Bytes
Dependencies parsed at: Pending
Created at: 6 months ago
Updated at: 6 months ago
Pushed at: 6 months ago
Last synced at: 6 months ago
Topics: auto-encoders, data-science, deep-learning, fashion-mnist-dataset, machine-learning, unsupervised-machine-learning, variational-autoencoder