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A Model for Super-Resolution
Wolfram Research, Inc.
Author
Wolfram Research, Inc.
Title
A Model for Super-Resolution
Description
In this example we use a neural network with an architecture inspired by VGG in order to create super-resolution images.
Category
Essays, Posts & Presentations
Keywords
neural net, deep neural net, machine learning, DNN, CNN, convolutional neural net, computer vision, net training, net evaluation, net repo, Wolfram net repository, machine vision, image net encode, image net decode, super resolution, high resolution, low resolution, image resizing, image upsampling, VGG
URL
http://www.notebookarchive.org/2021-11-b2ekdfe/
DOI
https://notebookarchive.org/2021-11-b2ekdfe
Date Added
2021-11-24
Date Last Modified
2021-11-24
File Size
770.65 kilobytes
Supplements
Rights
Redistribution rights reserved
Cite this as: Wolfram Research, Inc., "A Model for Super-Resolution" from the Notebook Archive (2022), https://notebookarchive.org/2021-11-b2ekdfe
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