An autoencoder is a type of a neural network used to learn, in an unsupervised way, a compressed data representation by matching its input to its output. An efficient compression is archived by minimizing the reconstruction error.
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| Michela Massi, CC BY-SA 4.0, via Wikimedia Commons |
