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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.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sarojinisharon%2FAutoencoder-and-Variational-Autoencoder-Exploration-with-Fashion-MNIST

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

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