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How to Implement a Variational Autoencoder in Python and Keras

How to Implement a Variational Autoencoder in Python and Keras

Valerio Velardo - The Sound of AI via YouTube Direct link

Analysis of generated data

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Analysis of generated data

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How to Implement a Variational Autoencoder in Python and Keras

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  1. 1 Intro + agenda
  2. 2 Renaming class + disabling eager execution
  3. 3 Modifying the encoder bottleneck
  4. 4 Updating the loss function
  5. 5 Passing the loss function to compile
  6. 6 Checking the VAE architecture
  7. 7 Training the VAE
  8. 8 Analysis of generated data
  9. 9 Visualising the latent space
  10. 10 Coming next

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