You're very welcome 🤗 You find two additional videos on the channel (look for "neural ODE") if you are interested in the theory. I don't have an Implementation based video (yet), but there is a draft I uploaded on the GitHub repo: github.com/Ceyron/machine-learning-and-simulation/blob/main/english/adjoints_sensitivities_automatic_differentiation/adjoint_ode.py
I realy enjoy the format of your video ! Thanks you very much
I'm really happy to hear that :). Thanks a lot! There is more like this coming over the next weeks.
Thank you for the video. Can we calculate gradient of loss function which is constrained by ODEs?
You're very welcome 🤗
You find two additional videos on the channel (look for "neural ODE") if you are interested in the theory. I don't have an Implementation based video (yet), but there is a draft I uploaded on the GitHub repo: github.com/Ceyron/machine-learning-and-simulation/blob/main/english/adjoints_sensitivities_automatic_differentiation/adjoint_ode.py