Explain auto-encoder
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Answer / Nisheet Kumar Nigam
"An autoencoder is a type of artificial neural network used for learning efficient codings (representations) of input data. It consists of an encoder that compresses the input data into a lower-dimensional representation (hidden layer), and a decoder that attempts to reconstruct the original input from this hidden representation."
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