TensorFlow Machine Learning Cookbook - Second Edition

Applying stylenet and the neural-style project

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)intact. This may be possible if we can find intermediate CNN nodes that correlate strongly with a style, separately from the content of the image.