1. Abstract

The NVIDIA® DIGITS DevBox Software Image is tuned and optimized to deliver maximum performance of the deep learning frameworks on the DIGITS DevBox system, built and shipped by NVIDIA® Corporation.

2. Updates in Refresh 2 (Feb 2016)

This section lists the changes in the NVIDIA DIGITS DevBox software, Refresh 2 (Sept 2016):

3. Updates in Refresh 1 (Sept 2015)

This section lists the changes in the NVIDIA DIGITS DevBox software, Refresh 1 (Sept 2015):

In-the-Box Software Components

This section provides a list of all software components included in the in-the-box package with the associated installation locations:

5. Known Issues

At the time of the release no known defects have been found that affect the use of this software.

Acknowledgements

MNIST DATA: The DIGITS tutorial uses the "MNIST" dataset from: http://yann.lecun.com/exdb/mnist/

The original MNIST dataset was transformed by computing pixel_value = 255 - pixel_value to convert from black background to white background, and encoded in PNG format. During training in DIGITS, each pixel is normalized as follows: normalized_pixel = (original_pixel - m)/255 where m is the global mean across all the pixels in the training set, and 255 is the range of pixel values.

Notices

Notice

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Trademarks

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