This document discusses Azure and deep learning. It provides an overview of cloud computing models including infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). It also describes the Azure Data Science Virtual Machine which provides tools for deep learning like TensorFlow. It recommends scripting resource management and shutting down VMs when not in use to save costs.

1. Azure and Deep Learning

2. • David Giard
• Senior Microsoft Technical Evangelist
• dgiard@Microsoft.com
• davidgiard.com
• @davidgiard

3. Cloud Computing
Host some or all of your data or application
on a third-party server
in a highly-scalable, highly-reliable way

4. Cloud Service
IAAS Infrastructure as a Service
PAAS Platform as a Service
SAAS Software as a Service

5. Virtualization
Server1.vhd

6. Virtualization
Server1.vhd Server2.vhd Server3.vhd Server4.vhd

7. Cloud Services
IaaS
Managedbyvendor
Storage
Servers
Networking
O/S
Middleware
Virtualization
Data
Applications
Runtime
Youscale,make
resilient&manage
PaaS
Scale,resilienceand
managementbyvendor
Youmanage
Storage
Servers
Networking
O/S
Middleware
Virtualization
Applications
Runtime
Data
On Premises
Youscale,makeresilientandmanage
Storage
Servers
Networking
O/S
Middleware
Virtualization
Data
Applications
Runtime
SaaS
Storage
Servers
Networking
O/S
Middleware
Virtualization
Applications
Runtime
Data
Scale,resilienceand
managementbyvendor
More Control
More Work
Less Control
Less Work

8. Reliability

9. Reliability
Data or ApplicationData or ApplicationData or Application

10. Elasticity

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18. Azure

19. Portal

20. Creating a VM

22. Scripting
• PowerShell
• CLI

23. ARM Template

24. PowerShell
# Login to Azure
Login-AzureRmAccount
# Create a Resource Group
New-AzureRmResourceGroup -Name dgtestrg -Location "South Central US"
# Deploy from an ARM template
New-AzureRmResourceGroupDeployment `
-ResourceGroupName dgtestrg `
-TemplateFile template.json `
-TemplateParameterFile .parameters.json

25. CLI
# Log into Azure
az login -u <username> -p <password>
# Create a resource group
az group create --name dgtestclirg --location southcentralus
# Deploy from ARM template
az group deployment create
--name dgtestclivm
--resource-group dgtestclirg
--template-file template.json
--parameters parameters.json

26. Data Science Virtual Machine for Linux
(Ubuntu)
• TensorFlow
• Microsoft Cognitive Toolkit
• MXNet
• Caffe
• Caffe2
• Chainer
• NVIDIA DIGITS
• Deep Water
• Keras
• Theano
• Torch
• PyTorch

27. Data Science Virtual Machine for Linux
(Ubuntu)
• Microsoft R Server 9.2.1 with Microsoft R Open 3.4.1, MicrosoftML package with machine learning algorithms, RevoScaleR and
revoscalepy for distributed and remote computing, and R and Python Operationalization
• Anaconda Python 2.7 and 3.5
• JupyterHub with sample notebooks
• Spark local 2.2.0 with PySpark and SparkR Jupyter kernels
• Single node local Hadoop
• Azure command-line interface
• Visual Studio Code, IntelliJ IDEA, PyCharm, and Atom
• H2O, Deep Water, and Sparkling Water
• Julia
• Vowpal Wabbit for online learning
• xgboost for gradient boosting
• SQL Server 2017
• Intel Math Kernel Library

28. Connect
• bash / ssh
• PuTTY (https://www.putty.org)
• x2Go (https://wiki.x2go.org/doku.php)

29. GPU
• NC-Series Azure VMs
• Not available in every region
(https://azure.microsoft.com/en-us/regions/services/)
• Select VM Image with GPU driver installed (e.g., Data Science VM)
• Select HDD; Not SDD
• Need to be “activated” for some accounts. Open a Quota support
ticket.

30. Recommendations
• Script resource management
• Shut down VMs when not in use
• Set Auto-Shutdown time

31. Demo

32. Links
• From https://blogs.msdn.microsoft.com/sarahsays/2018/01/04/whirlwind-
tour-of-recurrent-neural-networks-prerequisites/:
• Step 6: git clone https://github.com/jcjohnson/torch-rnn.git and torch-hdf5 stuff
• Follow https://blogs.msdn.microsoft.com/sarahsays/2018/01/04/a-
whirlwind-tour-of-recurrent-neural-networks-the-hard-way/
• Intro to Deep Learning VM: https://docs.microsoft.com/en-
us/azure/machine-learning/data-science-virtual-machine/deep-learning-
dsvm-overview
• Create a Deep Learning VM: https://docs.microsoft.com/en-
us/azure/machine-learning/data-science-virtual-machine/provision-deep-
learning-dsvm

33. Links
• This slide deck: https://aka.ms/ie534slides
• Imagine Cup: https://imagine.microsoft.com
• My blog: http://davidgiard.com