October 2017
Intermediate to advanced
330 pages
7h 7m
English
Content preview from Python Deep Learning Cookbook
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Upscaling the resolution of images with Super-Resolution GANs (SRGANs)
In Chapter 3, Convolutional Neural Networks, we demonstrated how a CNN can be used to autoencode an image to obtain a compression of the image. In the digital age, it's even more important to be able to scale up the resolution of an image to high quality. For example, a compressed version of an image can easily be shared via the internet. When the image arrives at the receiver, its quality will need to be increased, also known as Super-Resolution imaging (SR). In the following recipe, we will show you how to increase the resolution of an image by training deep learning with the PyTorch framework.
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