Hands-On Java Deep Learning for Computer Vision

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 detector, and for the sake of simplicity, let's suppose that layer has only four channels in comparison to many such channels in real convolution architectures, as shown in the following diagram:

The style ...