Autoencoders are artificial neural networks that learn without any supervision. Here, these networks have the ability to automatically learn by mapping the inputs to the corresponding outputs.
Autoencoders, as the name suggests, consist of two entities :
* Encoder : Used to fit the input into an internal computation state
* Decoder : Used to convert the computational state back into the output
