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    $\begingroup$Is it possible to summarise the content of any one of those links, in a short paragraph? The links might be useful for further research, but ideally a stack exchange answer should have enough text to address the basic question without needing to go off site.$\endgroup$
    – Neil Slater
    CommentedJun 20, 2015 at 7:01
  • 1
    $\begingroup$I am sorry but the content of these pages is too large to be summarized in a short paragraph.$\endgroup$
    – Azrael
    CommentedJun 20, 2015 at 9:11
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    $\begingroup$A full summary is not required, just a headline - e.g. "A deconvolutional neural network is similar to a CNN, but is trained so that features in any hidden layer can be used to reconstruct the previous layer (and by repetition across layers, eventually the input could be reconstructed from the output). This allows it to be trained unsupervised in order to learn generic high-level features in a problem domain - usually image processing" (note I am not even sure if that is correct, hence not writing my own answer).$\endgroup$
    – Neil Slater
    CommentedJun 20, 2015 at 11:08
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    $\begingroup$Although the links are good, a brief summary of the model in your own words would have been better.$\endgroup$
    – SmallChess
    CommentedDec 19, 2015 at 13:34
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    $\begingroup$towardsdatascience.com/…$\endgroup$
    – amin msh
    CommentedApr 26, 2020 at 9:18

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