In order to write a code example for training a simple Variational Autoencoder VAE in TensorFlow, you can refer to the below code snippets:
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In the above code, we are using Encoder, which Maps input to latent space with a mean (z_mean) and log variance (z_log_var), Reparameterization uses a custom layer to ensure differentiability, Decoder that reconstructs data from latent space and Loss, which combines reconstruction loss and KL divergence.
Hence, the code above trains a basic VAE on the MNIST dataset.