Code implementation – generator

Now, it's time for the interesting part! As well as interesting, the following preparation steps will make your adventure in GAN coding much easier to follow. The Generator code has two core changes, which we covered in the earlier pseudocode step. In this section, we'll go over the implementation of the code's two core changes, along with the deep convolutional generator.

Getting ready

Perform a directory check, as follows:

DCGAN
├── data
├── docker
├── README.md
├── run.sh
├── scripts
└── src
    ├── generator.py
    ├...