Deconvolutional Neural Network

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What Does Deconvolutional Neural Network Mean?

A deconvolutional neural network is a neural network that performs an inverse convolution model. Some experts refer to the work of a deconvolutional neural network as constructing layers from an image in an upward direction, while others describe deconvolutional models as “reverse engineering” the input parameters of a convolutional neural network model.

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Deconvolutional neural networks are also known as deconvolutional networks, deconvs or transposed convolutional neural networks.

Techopedia Explains Deconvolutional Neural Network

Deconvolutional neural networks can be described many different ways. Many of these tools use the same types of filters as convolutional neural networks but use them differently. Professionals utilize ideas like backpropagation and reverse filtering along with techniques like striding and padding to build transposed convolutional models.

In a very simplistic sense, one could say that professionals might “run a CNN backward,” but the actual mechanics of deconvolutional neural networks are much more sophisticated than that. Another part of convolutional and deconvolutional neural networks involves creating a hierarchy – for example, an initial network model might do the primary learning and another model might visually segment the target image. Generally, the DNN involves mapping matrices of pixel values and running a “feature selector” or other tool over an image. All of this serves the purpose of training machine learning programs, particularly in image processing and computer vision.

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Margaret Rouse
Editor

Margaret jest nagradzaną technical writerką, nauczycielką i wykładowczynią. Jest znana z tego, że potrafi w prostych słowach pzybliżyć złożone pojęcia techniczne słuchaczom ze świata biznesu. Od dwudziestu lat jej definicje pojęć z dziedziny IT są publikowane przez Que w encyklopedii terminów technologicznych, a także cytowane w artykułach ukazujących się w New York Times, w magazynie Time, USA Today, ZDNet, a także w magazynach PC i Discovery. Margaret dołączyła do zespołu Techopedii w roku 2011. Margaret lubi pomagać znaleźć wspólny język specjalistom ze świata biznesu i IT. W swojej pracy, jak sama mówi, buduje mosty między tymi dwiema domenami, w ten…