Generative Models
Machine learning models that can generate new data instances.
Description
Generative models are a class of machine learning models that learn to generate new data instances that resemble their training data. These models capture the underlying distribution of the data and can produce new, synthetic examples that are similar to, but not identical to, the original data. Generative models are particularly useful in tasks such as image generation, text generation, and data augmentation.
Examples
- 🎭 Generative Adversarial Networks (GANs)
- 🔄 Variational Autoencoders (VAEs)
- 🔁 Autoregressive models
Applications
🖼️ Image synthesis
📝 Text generation
🎵 Music composition
💊 Drug discovery
