VAEs! Generating images with Tensorflow – Towards Data Science

In my previous post I covered the theory behind Variational Autoencoders. It's time now to get our hands dirty and develop some code that can lead us to a better comprehension of this technique. I decided to use Tensorflow since I want to improve my skills with it and adapt to the last changes that are being pushed towards the 2.0 version. Tensorflow (with the recently incorporated Keras API) provides a reasonable amount of image datasets that we can use to test the performance of our network. It is super simple to import them without loosing time on data preprocessing.