Fig. 2
From: Rayleigh-wave dispersion data selection and model fine-tuning based on uncertainty estimation
Architecture of the MDN model. Arrows indicate the flow of data through the network. The final MDN layer consists of three dense sublayers that compute the mixture weights (\(\alpha\)), means (\(\mu\)), and standard deviations (\(\sigma\)), respectively; all other dense layers use the Tanh activation function.
