GitHub / Revanrie / Variational-Autoencoder-on-FashionMNIST
This repository features a Variational Autoencoder (VAE) built with PyTorch, designed to compress and generate FashionMNIST images. Explore the model's latent space and gain insights into its workings while leveraging the power of deep learning! 🐙💻
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PURL: pkg:github/Revanrie/Variational-Autoencoder-on-FashionMNIST
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Language: Jupyter Notebook
Size: 2.08 MB
Dependencies parsed at: Pending
Created at: 3 days ago
Updated at: 3 days ago
Pushed at: 3 days ago
Last synced at: 3 days ago
Topics: deep-learning, fashion-mnist, generative-models, image-generation, latent-space, python, pytorch, representation-learning, tensorflow, unsupervised-learning, vae, variational-autoencoder