Artificial Intelligence
What is GAN
Generative Adversarial Networks for content creation
GAN (Generative Adversarial Networks) is a neural network architecture consisting of two models: a generator and a discriminator, which train in an adversarial mode.
How GAN Works
- Generator creates synthetic data (images, text, audio)
- Discriminator tries to distinguish generated data from real data
- Both networks train simultaneously, improving each other
GAN Applications
- Generating realistic images
- Creating deepfake videos
- Photo quality enhancement (super-resolution)
- Voice and music synthesis
- Data augmentation for training other models
Popular Architectures
- DCGAN — Deep Convolutional GANs
- StyleGAN — face generation with style control
- CycleGAN — image transformation without paired data
- Pix2Pix — conditional image transformation
Business Applications
GANs are used in marketing for unique content creation, in e-commerce for generating product variants, in medicine for data synthesis.