Deconvolutional Network

DN are convolutional neural networks that work in a reversed process. The goal is to restore or reconstruct data that has been degraded by a convolving method. Deconvolution network is a shape generator that produces object segmentation from the given data. Examples include up-sampling each pixel in image clarification.

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