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How to Implement a Variational Autoencoder in Python and Keras

Valerio Velardo - The Sound of AI via YouTube

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Overview

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This course demonstrates how to implement a Variational Autoencoder with Python, TensorFlow, and Keras. It covers modifying the encoder bottleneck and loss, training the model, analyzing generated data, and visualizing its latent space.

Syllabus

Intro + agenda
Renaming class + disabling eager execution
Modifying the encoder bottleneck
Updating the loss function
Passing the loss function to compile
Checking the VAE architecture
Training the VAE
Analysis of generated data
Visualising the latent space
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Taught by

Valerio Velardo - The Sound of AI

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