This repository contains a summarized all-included Jupyter Notebook designed to train and evaluate a Deep Learning regression model using TensorFlow.
The model predicts the thin-film deposition rate based on various physical and operational parameters and recipes, and it uses Pymoo to find the maximum rate under minimal resources.