How to use clustering performance to improve the architecture of a variational autoencoder

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An autoencoder is one of the many different special neural network designs, the main objective of an autoencoder is to learn how to return the same data used to train it. The basic structure of an autoencoder can be split into two different networks, an encoder, and a decoder. The encoder compresses the data into a low dimensions space…