Generative AI Model: GANs (Part 1)

Machine Learning Tech Brief By HackerNoon

This story was originally published on HackerNoon at: https://hackernoon.com/generative-ai-model-gans-part-1.
This blog will be talking about the model components of Generative Neural Networks (GANs) GAN is an unsupervised learning technique
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #generative-ai, #gans, #what-is-generative-ai, #generative-ai-explained, #model-architectures, #what-is-a-generator-in-ai, #what-is-a-discriminator-in-ai, #how-does-generative-ai-work, and more.
This story was written by: @jyotiyadav33111. Learn more about this writer by checking @jyotiyadav33111's about page, and for more stories, please visit hackernoon.com.
This blog will be talking about the model components of Generative Neural Networks (GANs) GAN is an unsupervised learning technique where training data full of images is added as an input with no labels. Let’s deep dive into the model Architecture. What is Generative AI? It is a subset of Artificial Intelligence that can generate new data.