Deep Learning toolkit for the DSVM

af Microsoft

The data science virtual machine (DSVM) on Azure, based on Windows Server 2012, contains popular tools for data science modeling and development activities such as Microsoft R Server Developer Edition, Anaconda Python, Jupyter notebooks for Python and R, Visual Studio Community Edition with Python and R Tools, SQL Server Developer edition, and many other data science and ML tools. Use the DSVM to jump-start modeling and development for your data science project.

This deep learning toolkit provides GPU versions of mxnet, CNTK, TensorFlow, and Keras for use on Azure GPU N-series instances. These GPUs use discrete device assignment, resulting in performance that is close to bare-metal, and are well-suited to deep learning problems that require large training sets and expensive computational training efforts. The deep learning toolkit also provides a set of sample deep learning solutions that use the GPU, including image recognition on the CIFAR-10 database and a character recognition sample on the MNIST database. GPU instances are currently available in South Central US, East US, West Europe, and Southeast Asia.

By continuing to create and use this toolkit you are accepting the following license agreements.

Deploying this toolkit requires access to Azure GPU NC-class instances.


After provisioning the deep learning toolkit, see the README file in C:\dsvm\deep-learning, or on the desktop, for more information.

VERSION: 1.0.3