How To Build a Deep Learning Model to Predict Employee Retention Using Keras and TensorFlow DigitalOcean

The author selected Girls Who Code to receive a donation as part of the Write for DOnations program. Keras is a neural network API that is written in Python. It runs on top of TensorFlow, CNTK, or Theano. It is a high-level abstraction of these deep learning frameworks and therefore makes experimentation faster and easier. Keras is modular, which means implementation is seamless as developers can quickly extend models by adding modules. TensorFlow is an open-source software library for machine learning. It works efficiently with computation involving arrays; so it's a great choice for the model you'll build in this tutorial. Furthermore, TensorFlow allows for the execution of code on either CPU or GPU, which is a useful feature especially when you're working with a massive dataset. In this tutorial, you'll build a deep learning model that will predict the probability of an employee leaving a company. Retaining the best employees is an important factor for most organizations.