What are Generative Adversarial Networks (GANs) | Simplilearn
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What are Generative Adversarial Networks (GANs) | Simplilearn
Understand what are ️Generative Adversarial Networks (GANs), Generator, and Discriminator, the ️types ️applications & how ️GAN works with Math equations.
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The Magic Behind Generative Adversarial Networks (GANs)Imagine an AI system that can create completely new faces that don’t belong to any real person, design entire fashion collections, generate realistic medical images, or even simulate financial transactions to test fraud detection systems. This isn’t science fiction, it’s the power of Generative Adversarial Networks (GANs), one of the most fascinating breakthroughs in artificial intelligence and deep learning.What Are GANs?A Generative Advers
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🚀 Types of Gen AI Models Explained Generative AI is powering the next wave of digital transformation — enabling machines to create text, images, audio, and even code with human-like fluency. But not all Gen AI models work the same way. Today, four major architectures dominate the landscape — each with unique strengths and applications. 🔹 1. Transformer Models (e.g., GPT, BERT) Transformers are the backbone of modern natural language processing. They: Break text into tokens Encode positional co
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