dhanushkamath/VariationalAutoencoder
An IPython notebook explaining the concepts of Variational Autoencoders and building one using Keras to generate new faces.
This project helps you understand and build a Variational Autoencoder to generate new human faces. You'll put in a collection of existing face images, and the model will learn to create novel, realistic-looking faces. This is for anyone interested in generative AI, especially those exploring image synthesis or creative content generation.
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Use this if you want a practical, hands-on guide to generating new faces using a Variational Autoencoder.
Not ideal if you're looking for a production-ready system for high-volume face generation or need to work with different types of data beyond images.
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Jupyter Notebook
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Last pushed
Feb 16, 2020
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