Generative Adversarial Networks (GANs): A Beginner’s Guide…

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What are Generative Adversarial Networks (GANs)? Here’s everything you need to know about what they are, how they work, and what they do…

Generative Adversarial Networks (GANs) are a fascinating branch of artificial intelligence that have gained significant popularity in recent years due to their ability to create new, unique, and often remarkably realistic outputs.

GANs are used in a variety of applications, including AI image tools and text-to-image creation, like Midjourney and DALL-E, as well as other free AI image tools. But how do Generative Adversarial Networks (GANs) actually work and, more importantly, what do they do?

Here’s a quick beginner’s guide to Generative Adversarial Networks (GANs), covering everything you need to know in simple to understand language…

What Are Generative Adversarial Networks (GANs)?

At a high level, GANs are a type of neural network architecture that are designed to generate new data that is similar to some existing data.

They consist of two parts: a generator and a discriminator.

The generator’s job is to create new data, and the discriminator’s job is to decide whether the data created by the generator is real (from the existing data set) or fake (created by the generator).

These two parts of the network are trained together, in a sort of competition. The generator tries to fool the discriminator, and the discriminator tries to correctly identify the real vs. fake data.

Over time, through this adversarial process, the generator becomes better and better at creating realistic data, and the discriminator becomes better at identifying fakes.

GANs in AI and AI Image Tools

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GANs have been used in a variety of AI applications, one of the most notable being AI image tools. A well-known example of this is DALL-E, an AI model developed by OpenAI that can generate unique images from text descriptions.

In terms of AI image tools, there are numerous free AI image generator tools that utilize the power of AI to take any image or idea and enhance it.

Some popular AI tools focus on image generation – both text to image generation, whereby you enter text to create an image, and image editing, where you take an existing picture and breathe new life into it with AI.

Here’s comprehensive collection of some of the best free AI image generator tools available right now.

Midjourney and DALL-E

Midjourney and DALL-E are two AI models that have made significant strides in text-to-image generation. Midjourney is an AI tool that uses GANs to convert text descriptions into corresponding images.

DALL-E, on the other hand, is an AI model by OpenAI that builds upon the GPT model, a large language model that uses machine learning to produce human-like text, to generate images from text descriptions.

ChatGPT and GANs

ChatGPT, developed by OpenAI, is a state-of-the-art language model that uses Artificial Intelligence (AI) to converse with users in natural language. While it doesn’t directly use GANs, the core principle of training models to generate human-like outputs is similar.

You can learn more about ChatGPT inside our complete beginner’s guide to getting started with ChatGPT.

Richard Goodwin

Richard Goodwin has been working as a tech journalist for over 10 years. He has written for Den of Geek, Fortean Times, IT PRO, PC Pro, ALPHR, and many other technology sites. He is the editor and owner of KnowYourMobile.