This repository contains a feedforward neural network implemented using Keras.
The model is designed for regression tasks, incorporating regularization and dropout to prevent overfitting. Description and justification of approach is presented in a Jupyter-Notebook DNN_training
Further the built model can be used to predict added resistance for selected features trained in previous step. The example of prediction is presented in a Jupyter-Notebook pred_dnn