What is Generative Adversarial Networks (GANs)?

Skill Level:

Generative Adversarial Networks are a type of Machine Learning model that consists of two neural networks: a generator and a discriminator. GANs are used to generate synthetic data that resembles real data by learning from training examples. They find applications in image generation, video synthesis, and data augmentation.

Other Definitions

The Internet of Things refers to a network of interconnected devices, sensors, and objects that can collect and exchange data. IoT Devices enable the…
Artificial General Intelligence refers to AI systems capable of understanding, learning, and performing any intellectual task as humans do. Although AGI remains aspirational, it…
Word Embeddings are a technique in NLP that represent words as continuous vectors in a high-dimensional space. These vectors capture semantic and syntactic relationships…
Virtual Reality (VR) allows users to experience and interact with artificial, computer-generated environments. By immersing users in virtual worlds, businesses can create engaging and…