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What Is An Auto-encoder?

Answer»

An AUTOENCODER is an autonomous Machine learning algorithm that uses backpropagation principle, where the target VALUES are set to be equal to the inputs provided. Internally, it has a hidden layer that describes a code used to represent the INPUT.

Some Key Facts about the autoencoder are as follows:-

  • It is an UNSUPERVISED ML algorithm similar to Principal COMPONENT Analysis
  • It minimizes the same objective function as Principal Component Analysis
  • It is a neural network
  • The neural network’s target output is its input

An autoencoder is an autonomous Machine learning algorithm that uses backpropagation principle, where the target values are set to be equal to the inputs provided. Internally, it has a hidden layer that describes a code used to represent the input.

Some Key Facts about the autoencoder are as follows:-


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