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GitHub / mdhabibi / DeepLearning-MNIST-VAE

Exploring the depths of generative learning with a $\beta$-Variational Autoencoder ($\beta$-VAE) applied to the MNIST dataset for robust digit reconstruction and latent space analysis.

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Stars: 1
Forks: 0
Open Issues: 0

License: mit
Language: Jupyter Notebook
Repo Size: 69.4 MB
Dependencies: 0

Created: 5 months ago
Updated: 5 months ago
Last pushed: 5 months ago
Last synced: 4 months ago

Topics: deep-learning, keras, machine-learning, metrics-visualization, mnist-dataset, optimization, python, variational-autoencoder

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