Ärimudelitega

Ärimudelitega is a term used in the field of artificial intelligence and machine learning to describe models that are trained using a technique known as adversarial training. This approach involves two neural networks, a generator and a discriminator, which are trained simultaneously in a competitive manner. The generator's goal is to produce data that is indistinguishable from real data, while the discriminator's task is to differentiate between real and generated data. This process helps to improve the quality and realism of the generated data, making it useful for various applications such as image synthesis, data augmentation, and privacy-preserving machine learning. The term "ärimudelitega" can be translated to "adversarial models" in English.