Answer Posted / Rupak Ranjan
Generative Adversarial Network (GAN) is a type of deep learning model that consists of two parts: a generator and a discriminator. The generator creates new samples, while the discriminator tries to distinguish between real and generated samples. Through a minimax game between these two networks, GANs can learn to generate realistic data.
| Is This Answer Correct ? | 0 Yes | 0 No |
Post New Answer View All Answers
Please Help Members By Posting Answers For Below Questions
No New Questions to Answer in this Category !! You can
Post New Questions
Answer Questions in Different Category
