Applying Stylenet/Neural-Style
Once we have an image recognition CNN trained, we can use the network itself for some interesting data and image processing. Stylenet is a procedure that attempts to learn an image style from one picture and apply it to a second picture while keeping the second image structure (or content). This may be possible if we can find intermediate CNN nodes that correlate strongly with a style separately from the content of the image.
Getting ready
Stylenet is a procedure that takes two images and applies the style of one image to the content of the second image. It is based on a famous paper in 2015, A Neural Algorithm of Artistic Style (refer to the first bullet point under See also section). The authors found a property ...
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