The first application we will implement is the neural artistic style transfer. Here, we will transfer the style of Van Gogh art onto an image. An image can be considered as a combination of style and content. The artistic style transfer technique transforms an image to look like a painting with a specific painting style. We will see how to code this idea up. The loss function will compare the generated image with the content of the photo and style of the painting. Hence, the optimization is carried out for the image pixel, rather than for the weights of the network. Two values are calculated by comparing the content of the photo with the generated image followed by the style of the painting and the generated image.
Since pixels are not a good choice, we will use the CNN features of various layers, as they are a better representation of the content. The initial layers as seen in Chapter 3, Image Retrieval, have high-frequency such as edges, corners...
