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What are GANs? Generative Adversarial Networks Explained (Simple Analogy)

What are GANs? Generative Adversarial Networks Explained || What are GANs? Generative Adversarial Networks Explained (Simple Analogy)

#gans #generativeai #artificialintelligence #machinelearning #deeplearning #neuralnetworks #technology #aiexplained #datascience #computerscience #tech #programming #software #futuretech #learnai

Did you know the faces at the start of this video don’t actually exist? They were created by AI!

In this video, we decode Generative Adversarial Networks (GANs) using a simple “Cat and Mouse” analogy. Whether you are a student or a software enthusiast, you will learn how two AI models compete against each other to create realistic deepfakes, art, and data.

⏱️ Video Timestamps 00:00 – The Shocking Truth: AI-Generated Faces 00:16 – What are Generative Adversarial Networks (GANs)? 00:36 – The Analogy: Art Forger vs. Art Detective 00:41 – Role of the Generator (The Forger) 00:48 – Role of the Discriminator (The Detective) 00:55 – How the Training Loop Works 01:21 – Technical Terms Explained 01:36 – Real-World Application: Super Resolution 01:46 – Real-World Application: Style Transfer 01:51 – Real-World Application: Synthetic Medical Data 02:04 – Conclusion & Subscribe

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