Insurance, Risk Management, Data Science, Insurtech, Machine Learning.
of achieving Nash equilibrium through the training process. The Generator learns to map the latent space (e.g. Noise ~ N(0,1)) to the data space over which the given data samples are distributed, and the Discriminator evaluates the mapping done by the Generator. The principle role of the Generator