Deep Convolutional GAN -- How to Use a DCGAN to Generate Images in Python

Data Scientists use Generative Adversarial Networks (GANs) for a wide range of tasks, with image generation being one of the most common. A particular type of GAN known as DCGAN (Deep Convolutional GAN) has been created specifically for this. In this article, I will explain DCGANs and show you how to build one in Python using Keras/Tensorflow libraries. Then, we will use it to generate images of bonsai trees. Similarities exist between Machine Learning algorithms that enable us to categorise them based on architecture and use cases.