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GitHub / elaysason / Variational-Autoencoder-Exploration-With-MINST

Implementing Variational Autoencoder and explored the importance of each part of its loss function.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/elaysason%2FVariational-Autoencoder-Exploration-With-MINST

Stars: 0
Forks: 0
Open issues: 0

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

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