Deep Learning DIGITS Documentation - Last updated April 22, 2019 - Send Feedback -

Deep Learning DIGITS


Installing DIGITS
This guide provides a detailed overview on installing and running DIGITS.
Installing CUDA And The NVIDIA Driver For DIGITS
This guide provides instructions on installing and using the CUDA for use with DIGITS. Getting CUDA and the NVIDIA driver installed correctly on your machine can be difficult. This guide provides you with installation instructions for Ubuntu.

DIGITS Optimized Container


Getting Started With The DIGITS Container
You can pull (download) an NVIDIA container that is already built, tested, tuned, and ready to run. DIGITS container includes the code required to build the framework so that you can make changes to the internals. Before you can run DIGITS, there are some setup requirements that you must first meet. This guide provides instructions on pulling and using the DIGITS container.
DIGITS Container User Guide
This guide provides a detailed overview about using the DIGITS container. DIGITS is a training platform that can be used with NVIDIA Caffe and TensorFlow deep learning frameworks. Using either of these frameworks, DIGITS will train your deep learning models on your dataset.
DIGITS Release Notes
These release notes describe the key features, software enhancements and improvements, known issues, and how to run DIGITS 6.1.1 for the 19.04 and earlier releases. The DIGITS application is used by engineers and data scientists. DIGITS can be used to rapidly train highly accurate deep neural networks for image classification, segmentation, and object detection tasks. The DIGITS application is released, much like the NVIDIA optimized framework containers, on a monthly basis to provide you with the latest NVIDIA deep learning software libraries and GitHub code contributions that have been sent upstream; which are all tested, tuned, and optimized.

Working With Frameworks


Getting Started With Caffe In DIGITS
This guide provides an overview on using DIGITS with Caffe. NVCaffe is an NVIDIA-maintained fork of BVLC Caffe tuned for NVIDIA GPUs, particularly in multi-GPU configurations, accelerated by the NVIDIA Deep Learning SDK. It includes multi-precision support as well as other NVIDIA-enhanced features and offers performance specially tuned for NVIDIA GPU systems.
Getting Started With TensorFlow In DIGITS
The Getting Started With TensorFlow In DIGITS guide provides an overview on using DIGITS with TensorFlow.

Using DIGITS


DIGITS User Guide
This guide provides a detailed overview about installing and running DIGITS. This guide also provides examples using DIGITS with NVCaffe and TensorFlow deep learning frameworks.
DIGITS Tutorial
This tutorial provides step-by-step instructions for writing a custom plugin. DIGITS data plug-ins enable a mechanism by which you can extend DIGITS to ingest data from custom sources. Likewise, DIGITS offers a number of model output visualization types such as Image Classification, Object Detection or Image Segmentation. DIGITS visualization plug-ins make it possible to visualize the output of non-standard models. This guide walks you through the process of adding your own plugin.
Troubleshooting and Support
This guide helps you with usage issues or bugs that you might encounter using this product.

References


DIGITS SLA
This document is the Software License Agreement (SLA) for NVIDIA DIGITS. The following contains specific license terms and conditions for NVIDIA DIGITS. By accepting this agreement, you agree to comply with all the terms and conditions applicable to the specific product(s) included herein.
Additional Resources
The Additional Resources topic provides you with important, related links that are outside of this product documentation.