Hi everyone!
This video aims to help you understand the ideas and inner workings of a variational autoencoder, a really cool type of unsupervised generative model.
If you want to see the VAE in action, just skip to .
Here is a link to the notebook from the video:
https://www.kaggle.com/gcdatkin/an-introduction-to-variational-autoencoders
Thanks so much for watching!
I plan to release more interesting theoretical videos like this one in the future, so stay tuned! :)
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