Insurance, Risk Management, Data Science, Insurtech, Machine Learning.
hidden layers, and train the model using mean absolute percentage error (MAPE) loss and the Adam version of stochastic gradient descent. To prevent model from overfitting, we will adopt Dropout regularization technique. Schematic of the the GANs architecture used in this study is shown below GAN