NVIDIA/DIGITS

Name: DIGITS

Owner: NVIDIA Corporation

Description: Deep Learning GPU Training System

Created: 2015-03-17 16:00:20.0

Updated: 2018-01-18 16:57:26.0

Pushed: 2017-12-23 07:52:54.0

Homepage: https://developer.nvidia.com/digits

Size: 51059

Language: HTML

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README

DIGITS

DIGITS (the Deep Learning GPU Training System) is a webapp for training deep learning models. The currently supported frameworks are: Caffe, Torch, and Tensorflow.

Installation

| Installation method | Supported platform[s] | Available versions | Instructions | | — | — | — | — | | Source | Ubuntu 14.04, 16.04 | GitHub tags | docs/BuildDigits.md |

Usage

Once you have installed DIGITS, visit docs/GettingStarted.md for an introductory walkthrough.

Then, take a look at some of the other documentation at docs/ and examples/:

• Getting started with TensorFlow
• Getting started with Torch
• Fine-tune a pretrained model
• Creating a dataset using data from S3 endpoint
• Train an autoencoder network
• Train a regression network
• Train a Siamese network
• Train a text classification network
• Train an object detection network
• Learn more about weight initialization
• Use Python layers in your Caffe networks
• Download a model and use it to classify an image outside of DIGITS
• Overview of the REST API

Get help

Installation issues

• First, check out the instructions above
• Then, ask questions on our user group

Usage questions

• First, check out the Getting Started page
• Then, ask questions on our user group

Bugs and feature requests

• Please let us know by filing a new issue
• Bonus points if you want to contribute by opening a pull request!
• You will need to send a signed copy of the Contributor License Agreement to digits@nvidia.com before your change can be accepted.