Increasing Image Resolution with Neural Networks
This video quickly shows how to increase image resolution with neural networks.
The basic idea is: you train a neural network with a low resolution input and backpropagates with a higher resolution image as output.
The training was made from 16x16 RGB to 32x32 RGB using CIFAR-10 dataset. The trained neural network can then be used with images of any size. Interesting isn't it?
This video is part of the Conscious Artificial Intelligence Project.
You can find more about my work at:
JP @ ResearchGate - https://www.researchgate.net/profile/...
JP @ GitHub - https://github.com/joaopauloschuler/
JP @ SOURCEFORGE - https://sourceforge.net/u/jpss/profile/
JP @ Papers with Code - https://paperswithcode.com/search?q=a...
JP @ YouTube - / @joaoschuler5410
JP @ kaggle - https://www.kaggle.com/joaopauloschul...
JP @ Home - http://www.schulers.com/jpss/
Watch video Increasing Image Resolution with Neural Networks online, duration hours minute second in high quality that is uploaded to the channel Joao Schuler 31 December 2017. Share the link to the video on social media so that your subscribers and friends will also watch this video. This video clip has been viewed 3,538 times and liked it 49 visitors.
