Welcome to this project-based course on creating and training a simple recurrent neural network using Keras and TensorFlow. In this project, you will use Keras with TensorFlow as its backend to create a recurrent neural network model and train it to learn to perform addition of simple equations given in string format. You will learn to create synthetic data for this problem as well. By the end of this 2-hour long project, you will have created, trained, and evaluated a sequence to sequence RNN model in Keras. Computers are already pretty good at math, so this may seem like a trivial problem, but it’s not! The interesting part here is that we will give the model string data and not numeric data to work with. This means that the model needs to infer the meaning of various characters from a sequence of text input and then learn addition from the given data!