Autoencoders have existed in Data Science for a long time. This type of model has three sequential parts: the input layer (encoder); the hidden layer; and the output layer (decoder). It seems like a simple concept, but it is very powerful. You use autoencoders as an unsupervised method, which means that labels are not used in their training process.
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