GitHub / elaysason / Variational-Autoencoder-Exploration-With-MINST
Implementing Variational Autoencoder and explored the importance of each part of its loss function.
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PURL: pkg:github/elaysason/Variational-Autoencoder-Exploration-With-MINST
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License: None
Language: Jupyter Notebook
Size: 522 KB
Dependencies parsed at: Pending
Created at: over 3 years ago
Updated at: over 3 years ago
Pushed at: over 3 years ago
Last synced at: about 2 years ago
Topics: deep-learning, mnist, mnist-classification, reparameterization-trick, variational-autoencoder