If you are new to Determined, find out how to Create Your First Experiment. For a deeper dive, visit the Quickstart for Model Developers where you’ll learn how to perform the following tasks:

  • Train on a local, single CPU or GPU.

  • Run a distributed training job on multiple GPUs.

  • Use hyperparameter tuning.

Get Started with a Trial API#

To get started with a Trial API, visit PyTorch MNIST Tutorial. This tutorial shows you how to port a simple image classification model for the MNIST dataset.

Train Your Model in Determined#

Training API Guides include the Core API User Guide and walk you through how to take your existing model code and train your model in Determined.

Try an Example#

Examples let you build off of an existing model that already runs on Determined. Visit our Examples to see if the model you’d like to train is already available.