Introduction to Uber's Ludwig – Towards Data Science

Uber's AI Lab continues with opensourcing deep learning framework with there newest release which is called Ludwig, a toolbox build on top of TensorFlow that allows users to create and train models without writing code. Finding the right model architecture and hyperparameters for your model is a dificult aspepct of the deep learning pipeline. As an data scientist you can spend hours experimenting with different hyperparameters and architectures to find the perfect fit for your specifc problem. This procedure isn't only time consuming, code intensive but also requires knowledge of all the algorithms used and state-of-the-art techniques, which are used to squezze out the last percent of performance. Ludwig tries to provide you with a toolbox that allows you to train and test your deep learning model without writinng code.