Adaptive, global, extended kalman filters for training feedforward neural networks

Hello,

could anybody help me how to implement the extended kalman filter to train a neural network in PyTorch based on this paper https://doi.org/10.1002/cem.1180080605 ?

I’m a noob in pytorch and am having really hard time coding it.

Thank you