Deepfake AI explained in 60 Seconds

Introduction

Deepfake technology utilizes AI, specifically Generative Adversarial Networks (GANs), which consist of two neural networks - the generator and the discriminator. These networks compete with each other, where the generator creates fake images and the discriminator identifies them. Through this competition, the AI improves until the generated images appear realistic. Deepfakes are created by training AI on extensive hours of footage to replicate facial features and movements, enabling a seamless face swapping capability when overlaying onto another video. For a more in-depth exploration of this topic, visit Deep Fake Academy's channel.

Keyword:

• Deepfake technology
• AI
• Generative Adversarial Networks
• Neural networks
• Face swapping

FAQ:

• How does deepfake technology work?
• What are GANs and their role in deepfake creation?
• How is AI trained to replicate facial features for deepfake generation?
• Is there a way to detect deepfake videos?