Ludwig – A toolbox to train and test deep learning models without code

Some features may require further steps, read Getting Started. Prepare your cata in a CSV file, define input and output feature in a model definition YAML file and run:

Prepare your data in a CSV file and use a pre-trained model to predict the output targets:

Ludwig comes with many visualization options. If you want to look at the learning curves of your model for instance, run:

Source: uber.github.io