RNN Replications: FM10 Rocky Mountain GACC 2023-2024

100 replications of training an RNN, used as a starting point for a fuel moisture content transfer learning analysis. * RNN with LSTM layer trained on FM10 sensors from all available RAWS within Rocky Mountain GACC from 2023-2024* Model architecture and training described in DOI: https://doi.org/10.3390/fire9010026* Replications use different seeds that account for uncertainty in random weight initialization, and train/val split* Model replications used with transfer learning approaches to generate predictions for FM1, FM100, and FM1000* These replications are the external pretrained-model inputs for the `fmc_transfer` repository. For reproducibility, place this directory at `models/rnn_rocky_23-24_reps/` within that project: https://github.com/jh-206/fmc_transfer/