The project compares the forecasting performance of a standard DSGE model with a hybrid DSGE–neural network (TD-VAE) specification. It evaluates out-of-sample forecasts for key macro variables and explores whether the neural component can capture nonlinear dynamics and reveal structural misspecification. The analysis is conducted on both U.S. and euro area data.