Insurance, Risk Management, Data Science, Insurtech, Machine Learning.
space via Generator to obtain a fake sample, G(x’), which is a multi-dimensional vector. The Discriminator is a binary classifier that takes in both the synthetic G(x’) and the training (x) dataset and learn to classify them as fake and real. Optimal state of the GAN model is reached when the