In the previous tutorial (https://medium.com/mlearning-ai/latent-space-representation-a-hands-on-tutorial-on-autoencoders-in-tensorflow-57735a1c0f3f) we learned about latent spaces, autoencoders and their implementation in TensorFlow. In this tutorial, we shall extend the concept of autoencoders and look at one of the special cases of autoencoders called variational autoencoders.
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