In this section, we are going to build a Java application for creating art. Before jumping into the code and application, let's look at the high-level description on how is it implemented. We will use transfer learning with the pre-trained VGG-16 architecture, trained on ImageNet dataset, which is a bunch of convolution layers in the following diagram:
Basically, as we go deeper, the depth of the third dimension increases, while the first two dimensions shrink in time.
At first, we are going to fit a content image as an input through a forward pass as shown in the following diagram. Then, we will ...
