What do you mean by Autoencoders?

1.	What do you mean by Autoencoders?
Answer» A network that is used for learning a vector representation of the input in a COMPRESSED form, is called an autoencoder. It is a TYPE of unsupervised learning since labels aren’t needed for the process. This is mainly used to learn the mapping function from the input. In order to MAKE the mapping useful, the input is reconstructed from the vector representation. After training is complete, the vector representation that we get helps encode the input TEXT as a dense vector. Autoencoders are generally used to make FEATURE representations. In the figure below, the hidden layer depicts a compressed representation of the source data that captures its essence. The input representation is reconstructed by the output layer called the decoder.

Answer»

A network that is used for learning a vector representation of the input in a COMPRESSED form, is called an autoencoder. It is a TYPE of unsupervised learning since labels aren’t needed for the process. This is mainly used to learn the mapping function from the input. In order to MAKE the mapping useful, the input is reconstructed from the vector representation. After training is complete, the vector representation that we get helps encode the input TEXT as a dense vector. Autoencoders are generally used to make FEATURE representations.

In the figure below, the hidden layer depicts a compressed representation of the source data that captures its essence. The input representation is reconstructed by the output layer called the decoder.

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