Ready to dive into deep learning? It only takes two days. We’ll provide you with all the tools you need, including easy to follow guides, software samples such as TensorRT code, and even pre-trained network models including ImageNet and DetectNet examples. Follow these directions to integrate deep learning into your platform of choice and quickly develop a proof-of-concept design. In this guide, you'll get a stronger background in deep learning, be able to load and run a pre-trained deep neural network on the Jetson TX1 Developer Kit, and learn how to retrain the network with your own dataset to produce a live demo.

Recommended System Requirements:

Training GPU:

  • Maxwell or Pascal-based TITAN-X, Tesla M40, P40 or AWS P2 instance
  • Ubuntu 14.04 x86_64 or Ubuntu 16.04 x86_64 (see DIGITS AWS AMI).


  • Jetson TX1 Developer Kit with JetPack 2.3 or newer (Ubuntu 16.04).
  • Jetson TX2 Developer Kit with Jetpack 3.0 or newer (Ubuntu 16.04).

Want to dive deeper into Deep Learning?
Sign up for an online course in our Deep Learning Institute.