GitHub / AdityaTheDev / FaceGenerationUsingVariationalAutoencoder
VARIATIONAL AUTOENCODERS are Generative model. A Generative Model is a powerful way of learning any kind of data distribution using unsupervised learning and it has achieved tremendous success over the past few years.
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PURL: pkg:github/AdityaTheDev/FaceGenerationUsingVariationalAutoencoder
Stars: 1
Forks: 0
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 9.64 MB
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: autoencoder, cnn-keras, deep-learning, generative-model, keras-tensorflow, machine-learning, neuralnetwork, statistics, variational-autoencoder, variational-autoencoders