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Welcome to the DomainDefinedDeepLearning wiki!

The purpose of this repository is to develop a set of models and tools for domain defined deep learning, such as Physics inspired Neural Networks.

To do

1. Write code for deploying training of models to Azure
2. Extract code from notebook into modular and reusable functions
3. Explore multi-dimensional differential equation examples (Navier-Stokes, Black-Scholes etc.)