The document discusses batch AI and data science virtual machines as a foundation for custom machine learning using neural networks. It highlights the author's extensive experience in software development, particularly with Microsoft tools, and current focus areas such as microservices and neural networks. Additionally, it covers technical aspects of neural networks, optimization techniques like gradient descent, and practical usage of Azure virtual machines for data analytics and AI training.

1. Batch AI and Data Science Virtual
Machines provide the foundation
for custom machine learning
A class of deep, feed-
forward artificial neural
networks used to analyze
visual imagery.
An interpreted high-
level programming
language for general-
purpose programming
All Examples are built
entirely with open source
frameworks
Tailored to your charitable and
financial interests
An open source machine
learning framework for
everyone

2. Kick off the talk

3. Software Development is my passion. I have almost 20
years of experience using Microsoft tools to develop
software. Currently I am the Principal Cloud Architect
at SafeNet Consulting, where I get to do what I love...
Architect, Design, and Develop great software! I
currently focus on Microservices, SOA, Azure, Neural
Networks, and HoloLens.
Cameron Vetter

4. ROAD
MAP
THEORY
ANN
CNN
CLUSTER
LOW
PRIORITY
REST REVIEW
JOB

5. What is a Neural Network
and why would I use one?

6. the brains neuron
Parts
Dendrites = Input
Soma = Signal Processing
Axon = Output

7. the ANN neuron
Parts
Input
Activation Function
Output

9. Backpropagation

10. Gradient descent
Definition
A first-order iterative
optimization algorithm for
finding the minimum of a
function. To find a local
minimum of a function
using gradient descent, one
takes steps proportional to the
negative of the gradient of the
function at the current point.

11. Convolutional Neural Network

12. Virtual Machine images,
configured with popular tools that
are used for data analytics,
machine learning and AI training

13. DSVMs are Azure Virtual Machine images, pre-installed,
configured and tested with several popular tools that are
commonly used for data analytics, machine learning and
AI training.
What is it?

15. Neural Network Library Multi Dimensional Array Math Machine Learning Framework
GPU Accelerated Primitives Nvidia GPU Parallel Computing Compiler for Python

16. Easily experiment and train your
deep learning and AI models in
parallel at scale

17. Data Science VM’s Disk Storage or DB Execution Plan

18. Azure Batch AI

20. az batchai cluster create --name neuralnetwork --image UbuntuDSVM --
vm-size Standrd_NC6 --min 0 --max 1 --afs-name data --user-name
<MyUsername> --password <MyPassword> -c clusterconfig.json --
resource-group tensorflow2 --location westus2 --storage-account-name
tensorflowdata --storage-account-key <MyStorageAccountKey>
Azure CLI not the Portal

22. Turn the model generated by
Batch AI into an Azure Web App

24. A Quick Review

25. ROAD
MAP
THEORY
ANN
CNN
CLUSTER
LOW
PRIORITY
REST REVIEW
JOB

26. @Poshporcupine linkedin.com/in/cameronvetterwww.cameronvetter.com
Any Questions?