SlideShare a Scribd company logo
Artificial Intelligence
solves critical life
problems
Image classification with Inception v3 and transfer learning
Demo:
Run TensorFlow
Training with
Containers
https://www.youtube.com/watch?v=7Ndx3HKaS5s
Demo: Serving the
Model with TF
Serving
• Options for serving
• Wrap model in a web framework
(eg – Flask)
• Tensorflow Serving
• Seldon
https://www.youtube.com/watch?v=t13F33I27TI
Demo:
Run TensorFlow
Training with Kubeflow
https://www.youtube.com/watch?v=lvH3ivDrocw
https://www.youtube.com/watch?v=OQvO0pFaeEc
Demo: Scale and Test
Experiments in Parallel using
Kubernetes, TFJob, Helm,
Virtual Kubelet, & ACI
• Spin up pods for each variation of
hyperparameters
• One centralized TensorBoard instance
• Autoscaling will create / remove container
instances as needed to save cost
https://www.youtube.com/watch?v=EtOuo1dj56c
https://www.youtube.com/watch?v=E1p9bTN-fYc
Demo:
Create End to End ML Pipelines with Argo
https://www.youtube.com/watch?v=5zJrvWy9srs
https://www.youtube.com/watch?v=2P50c-srlkA
Demo: Rapid prototyping with
self-service Jupyter notebook
from JupyterHub
https://www.youtube.com/watch?v=kGr6mTUEBhs
https://www.youtube.com/watch?v=8MTGAT6qsXo
one) Solution is Kubernetes:
• Highly Scalable
• Easy to explore hyper-parameters space
• Easy to do distributed training
But really, Data Scientists shouldn’t have to care about containers, kubernetes and
all that stuff
• Pachyderm can version datasets and
trigger
new trainings when changes occur
• Distributed File Systems
• NFS
• HDFS
• …
Classic DevOps solutions:
• Containers
• CI/CD
• Autoscaling
• A/B testing and canary release of
Models
• Comparing Production accuracy
vs expected accuracy when
possible
• Rolling-updates
• …
https://azure.microsoft.com/blog/azure-machine-learning-service-a-look-under-the-hood/
Resources
• Source code for this talk:
https://github.com/ritazh/kubecon-ml
• Kubeflow labs for AKS:
https://github.com/Azure/kubeflow-labs
• Provision a Kubernetes cluster on Azure:
https://github.com/Azure/kubeflow-labs/tree/master/2-
kubernetes#provisioning-a-kubernetes-cluster-on-azure
[Container X mas Party with flexy] Machine Learning Lifecycle with Kubeflow on Azure Kubernetes Service (AKS)

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