This repository for ÒDevelopment of a machine learning model for river bedloadÓ Hosseiny et. Al (in review) contains the following assets. These assets may need to be modified for your purposes. You are responsible for inspecting these assets and making adjustments as necessary. 

1) The trained ANN model described in Hosseiny et al. (in review) as a .zip file named  ÔHosseiny_et_al_trained_ANN.zipÕ.  This contains a folder (BEDLOAD_MODEL_FINAL) which contains the trained ANN Model (saved_model.pb) and associated information related to the input variables and variable weights.

2) An accompanying Jupyter notebook named Òbedload_ann_example.ipynbÓ that provides a step-by-step guide for implemented the trained ANN model (Asset 1).

3) A .xls file named ÒHosseiny et al_Supplemental_Data_Tables.xlsxÓ which provides the original observations that the model was trained and tested on, the summary statistics of the original input data as a compilation and for individual sites, the model errors associated with training and validation steps, the bedload calculations from the four uncalibrated existing bedload transport models described in the original study and for the ANN for the test data population, associated summary statistics with model output, and additional site-specific calculations of model error. 
