5) GENERATIVE ADVERSARIAL NETWORKS

Generic Adversarial Networks will be another trend in machine learning app concepts. GAN is a highly clever method of generative model training. This is due to the fact that it requires framing the issue as a supervised learning problem using sub-models.

The generator model, which is trained to produce fresher instances, and the discriminator model are these sub-models. This distinguishes between authentic and false models.

The actual models are those who are native to the field, while the phoney models are those who are not. The two models are trained in a zero-sum game that is hostile.

This is continued until more frequently than 50% of the time the discriminator model can be fooled. This proves the generator model produces plausible examples. netizenstechnologies.com