Model

This section split into two chapter.

1. Methodology explain theoretical background of model development.

   • Deep Learning explain model methodology,architecturea and code implementation.
   • Uncertainty Estimation describe how to build robust and trustworthy model.

2. Tutotials section is walktrough how to use code in the repository

   • Training
   • Evaluate
   • Prediction