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Stay tuned for the PyTorch implementation in the next post! Before there were GANs, there were VAEs. (And before there were VAEs, there were AEs. Do not even get me started on the VAE-GANs; let us first decipher all these acronyms before they get out of hand!) AE Autoencoder 1991 VAE Variational Autoencoder 2013 GAN Generative Adversarial Network 2014 Now let's go through them one at a time. Autoencoder: How do you describe a face? Autoencoder is an unsupervised machine learning algorithm, that aims to obtain a low(er) dimensional representation of your input. This might not sound like a big deal, but the idea is actually quite deep if you think about it. First of all, what is a representation? It is how you choose to describe something, in a way that works well enough for your purposes. 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