How can you build a custom VAE model using TensorFlow s Functional API

Question

Can you tell me How I can build a custom VAE model using TensorFlow’s Functional API? Use code snippets if possible.

Answer 1

You can build a custom Variational Autoencoder (VAE) using TensorFlow's Functional API by defining the encoder, sampling layer, and decoder.

Here is the code example you can refer to:

Hence, this defines the encoder, decoder, and VAE model using the Functional API. You can then compile and train the VAE with a custom loss function that includes the KL divergence term.