Jyoti Yadav

Software

Generative AI Model: GANs (Part 3) | HackerNoon

Note: Above is an image generated by Stable Diffusion. A classic example of Generative AI! Welcome back to the thrilling conclusion of the Generative AI Series. In part 1 of the series, we discovered the different components of GANs. Whereas in part 2, a very important concept of cross entropy is explored. Before you go through this blog, please read part 1 and part 2 as well. In this final part, we are going to

Read More »
Software

Generative AI Model: GANs (Part 2) | HackerNoon

Welcome Folks! In the previous blog, we talked about the core concepts of GANs and the model components, namely Generator and discriminator. It also described the basic adversarial process which is involved in the optimization of the model. GANs work on a very powerful but basic concept of game theory “ Zero Sum Game.” This simply means that the gain of one player in the game is a loss for the other so the total

Read More »

Generative AI Model: GANs (Part 1) | HackerNoon

Welcome to my series of blogs on a very interesting but complex topic “Generative AI.” There are numerous components and specifications present in the topic, which makes it very difficult to grasp at once. Therefore, this series will explain exactly one topic in every blog. Let’s Start! This blog will be talking about the model components of Generative Neural Networks (GANs) which are a basic but fascinating area of the Generative AI domain. It is

Read More »