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What Is An Autoencoder? |
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Answer» Autoencoder is artificial neural networks ABLE to learn representation for a SET of data (encoding), without any supervision. The network learns by copying its input to the output, typically internal representation has smaller dimensions than input vector so that they can learn efficient ways of representing data. Autoencoder consist of two parts, an ENCODER tries to FIT the inputs to an internal representation and decoder converts internal state to the OUTPUTS. Autoencoder is artificial neural networks able to learn representation for a set of data (encoding), without any supervision. The network learns by copying its input to the output, typically internal representation has smaller dimensions than input vector so that they can learn efficient ways of representing data. Autoencoder consist of two parts, an encoder tries to fit the inputs to an internal representation and decoder converts internal state to the outputs. |
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