Data Science Asked on July 19, 2021
Seems like Autoassociative neural networks and Autoencoders do the same thing.
Are they the same, or is there some subtlety I’m not picking up on?
The "autoassociative" paper is from 1992. The field had not settled on the term "autoencoder" for this concept.
Correct answer by Jack Parsons on July 19, 2021
Autoencoders need at least 1 hidden layer to be constructed.
But, Autoassociative neural networks could be obtained through a bidirectional associative memory, which is implemented with no hidden layer, and whose weights are learned in one step.
Answered by Purushothaman Srikanth on July 19, 2021
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