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# System prepended metadata

title: Yifan's intro prrojects

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# Yifan's intro prrojects

1. Run the full reconstruction chain.
2. Modify the config to train U-ResNet + PPN only. Run as long as possible on a100 gpu. Plot the loss curve (while training is ongoing). Save weights every 1000 steps. Run the inference on 32000 samples per saved weights to make a validation accuracy plot. Show (train loss and validation loss) in an overlay.
3. Learn how to run particle bomb event generator + DUNE-ND geant 4 ([edep-sim](https://github.com/ClarkMcGrew/edep-sim)) and detector simulation [larnd-sim](https://github.com/DUNE/larnd-sim). 