We will look at how to build a Bidirectional Gated Recurrent Units Neural Network which can predict the degradation for multiple scenarios at each of the base.
We will cover how to train the model and evaluate on a test set. We will then finally make predictions using the trained model and compare it with the original degradation rates.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.