Hands-On Transfer Learning with Python

Building a coloring deep neural network

It's time to build a coloring deep neural network or colornet. As discussed in the previous section, if we utilize an alternate colorspace, such as LAB (or YUV), we can transform the colorization task into a mathematical transformation. The transformation is as follows:

Mathematical formulations and creativity are fine, but where are the images to learn these transformations? Deep learning networks are data hungry, but luckily, we have a huge collection of diverse images from various open source datasets. For the purposes of this chapter, we will rely on a few sample images from ImageNet itself. Since ...