In this section, we are going to see what is the style in terms of convolution layers, and then based on that intuition, we'll build the style cost function. In the end, we'll go through a slightly more formal definition of the style cost function.
Applying style cost function
How to capture the style
A part of the process is quite similar to what we have seen in the content cost function. So, we will still use convolution layers to capture image features and we will feed the neural network with a generated image, and then instead of the content image, we will use the style image here. And once we do that, we have the features captured for each of the layers.
Let's suppose that we pick up this layer as a feature...