NVIDIA DIGITS

Interactive Deep Learning GPU Training System

The NVIDIA Deep Learning GPU Training System (DIGITS) puts the power of deep learning into the hands of engineers and data scientists. DIGITS can be used to rapidly train the highly accurate deep neural network (DNNs) for image classification, segmentation and object detection tasks.

DIGITS simplifies common deep learning tasks such as managing data, designing and training neural networks on multi-GPU systems, monitoring performance in real time with advanced visualizations, and selecting the best performing model from the results browser for deployment. DIGITS is completely interactive so that data scientists can focus on designing and training networks rather than programming and debugging.

DIGITS Download

DIGITS 4 is available as a free download to the members of the NVIDIA Developer Program. If you are not already a member, clicking “Download” will ask you join the program.

Download

DIGITS Cloud Images

DIGITS 4 is available as a Amazon Machine Image (AMI) for on-demand usage. Get started instantly by clicking the “DIGITS AMI” button below. Learn more about GPU-accelerated cloud images from NVIDIA.

DIGITS AMI

What’s New in DIGITS 5

  • Train Image Segmentation neural networks to partition images into regions such as tumors from healthy tissue, and buildings and cars from free space
  • Decrease training time and improve model accuracy with pre-trained models from the DIGITS Model Store

DIGITS 5 will be available in December, as a free download for members of the NVIDIA Developer Program. Sign up for the program to be notified when it is ready for download.


Learn more about DIGITS 5 in the following blog posts:


Image segmentation neural network trained with DIGITS 5 to partition epithelium regions that contribute to identification of tumor

Key Features:

  • Design, train and visualize deep neural networks for image classification, segmentation and object detection
  • Download pre-trained models from the DIGITS Model Store
  • Perform hyperparameter sweep of learning rate and batch size for improved model accuracy
  • Schedule, monitor, and manage neural network training jobs, and analyze accuracy and loss in real time
  • Import a wide variety of image formats and sources
  • Scale training jobs across multiple GPUs automatically

DIGITS is an open source project. Customize and extend DIGITS to suit your applications and share your experience using DIGITS on the DIGITS user group.


Import data for image classification and object detection neural networks


Choose predefined LeNet, AlexNet, GoogLeNet or provide custom networks


Visualize deep neural network architectures


Import data for image classification and object detection neural networks


Choose predefined LeNet, AlexNet, GoogLeNet or provide custom networks


Visualization of inference results

References:

Learn more about GPU-accelerated machine learning and deep learning technologies in these blog posts: