Creating a TensorFlow model for super-resolution

Now, we'll start building a GAN model that performs super-resolution on images. Before we dive into the code, we need to understand how the project's directory will be organized.

Project directory structure

The following files and folders are present in this chapter:

• api/:
• model /:
• __init __.py: This file indicates that the parent folder of this file can be imported like a module.
• common.py: This contains common functions that are required for any GAN model.
• srgan.py: This contains functions that are required for developing the SRGAN model.
• weights/:
• gan_generator.h5: A pre-trained weights file for the model. Feel free to use this to quickly run and check out how...