Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. In this session, we'll focus on training and deploying Deep Learning models with popular libraries like TensorFlow, Keras, Apache MXNet or PyTorch.

1. Deep Learning
on Amazon SageMaker
Julien Simon
Principal Technical Evangelist, AI and Machine Learning, AWS
@julsimon

2. © 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Put Machine Learning in the hands
of every developer and data scientist
Our mission

3. © 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Application
Services
Platform
Services
Frameworks
&
Infrastructure
API-driven services: Vision, Language & Speech Services, Chatbots
AWS ML Stack
Deploy machine learning models with high-performance machine learning
algorithms, broad framework support, and one-click training, tuning, and
inference.
Develop sophisticated models with any framework, create managed, auto-scaling
clusters of GPUs for large scale training, or run prediction
on trained models.

4. © 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Application
Services
Platform
Services
Frameworks
&
Infrastructure
API-driven services: Vision, Language & Speech Services, Chatbots
AWS ML Stack
Deploy machine learning models with high-performance machine learning
algorithms, broad framework support, and one-click training, tuning, and
inference.
Develop sophisticated models with any framework, create managed, auto-scaling
clusters of GPUs for large scale training, or run prediction
on trained models.

5. © 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Amazon SageMaker
Fully managed
hosting with auto-
scaling
One-click
deployment
Pre-built
notebooks for
common
problems
Built-in, high-
performance
algorithms
One-click
training
Hyperparameter
optimization
Build Train Deploy
FREE
TIER

6. © 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Image Classification (CNN)
Object Detection (SSD)
Sequence to sequence (LSTM)
DeepAR (RNN)
Built-in Algorithms Bring Your Own ContainerBring Your Own Script
Model options for Deep Learning
Training code

7. © 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Demo:
Object detection
Built-in algorithm

8. © 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Demo:
Batch Transform
Tensorflow + MNIST

9. © 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Demo:
Random Search vs HPO
Apache MXNet + CIFAR-10

10. © 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Demo:
Custom container
Keras-MXNet + MNIST

11. © 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
Can we do more to put ML in the
hands of all developers (literally)?

12. A new way to learn
Custom built for Deep Learning
Broad Framework Support
Deploy models from Amazon SageMaker
Integrated with AWS
Fully programmable with AWS Lambda
AWS DeepLens
HD video camera
Custom-designed
Deep Learning
engine
Micro-SD
Mini-HDMI
USB
USB
Reset
Audio out
Power

13. © 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
AWS DeepLens

14. Object detection with AWS DeepLens

15. Resources
https://ml.aws
https://aws.amazon.com/sagemaker
https://aws.amazon.com/deeplens
https://github.com/aws/sagemaker-python-sdk
https://medium.com/@julsimon
https://gitlab.com/juliensimon/dlnotebooks

16. © 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Floor28 Agenda
GameDay
24 Oct
Enterprise IT Day
23 Oct
Builders Day
AppSync, Alexa & IoT
22 Oct
Big Data Day
14 Oct
ML & DL Day
15 Oct
DevOps Day
16 Oct
DevOps Day
17 Oct
Technical Sessions
Serverless Data Workshop
Big Data UG Meetup
Technical Sessions
SageMaker Workshop
ML&DL Meetup
Technical Sessions
K8s Workshop
DevOps Meetup
Technical Sessions
Spot Workshop
Databases Day
18 Oct
Technical Sessions
Serverless Workshop
Virtual assistants UG Meetup
Technical Sessions
PyTorch Meetup
Technical Sessions
CDK Workshop
AWS IL UG Meetup
Builders Day
Serverless backend
21 Oct
Technical Sessions

17. © 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
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Password: Cube@11999
GAME DAY
PUT YOUR SKILLS TO THE TEST
OCT 24
Register now: bit.ly/Floor28GameDay

18. © 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
https://amzn.to/2DAEUW8

19. Thank you!
Julien Simon
Principal Technical Evangelist, AI and Machine Learning
@julsimon