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 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 is available as a Amazon Machine Image (AMI) for on-demand usage. Get started instantly by clicking the button below. Visit the GPU-accelerated cloud images to learn more.

DIGITS AMI

What’s New in DIGITS 6

  • Interactively train models using TensorFlow and visualize model architecture using TensorBoard
  • Integrate custom plug-ins for importing special data formats such as DICOM used in medical imaging
  • Pre-trained UNET model added to the DIGITS model store for image segmentation of medical images

Learn more about DIGITS 6:


Image segmentation neural network trained with DIGITS 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 using Caffe, Torch and TensorFlow
  • Download pre-trained models such as AlexNet, GoogLeNet, LeNet and UNET 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 with DIGITS plug-in
  • 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


Download pre-trained models such as AlexNet, GoogLeNet and others from the DIGITS Model Store


Visualize deep neural network architectures


Schedule, monitor, and manage neural network training jobs


Analyze accuracy and loss in real time


Visualization of inference results

References:

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