Amazon AI services bring natural language understanding (NLU), automatic speech recognition (ASR), visual search and image recognition, text-to-speech (TTS), and machine learning (ML) technologies within the reach of every developer. Based on the same proven, highly scalable products and services built by the thousands of deep learning and machine learning experts across Amazon, Amazon AI services provide high-quality, high-accuracy AI capabilities that are scalable and cost-effective. Speaker: Ian Massingham, AWS Evangelist

2. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
31 October 2017
Introduction to Amazon AI & Deep Learning
Ian Massingham, AWS Technical Evangelism Leader
@IanMmmm

3. Machine Learning is Undergoing a Renaissance

4. The Challenge For Machine Learning: Scale
Data Training Inference At the Edge

5. The Challenge For Machine Learning: Scale
Data Training Inference At the Edge
Tons of GPUs and CPUs
Serverless
Tons of GPUs
Elastic capacity
Pre-built images
PBs of existing data
Aggressive migration
New data created on AWS
IoT and mobile deployment
Mobile optimisation
IoT device optimisation

6. Machine Learning On AWS Today

7. Early detection of
diabetic complications

8. New Pinterest Lens mobile
app uses TensorFlow to let
users find pins based on
the pictures they take

9. Real time, per pixel
object segmentation

10. Thousands of Amazon Engineers
Focused on Machine Learning

11. Our Goal: AI & ML in the Hands of Every Developer
SERVICES
PLATFORMS
ENGINES
INFRASTRUCTURE
Amazon ML Spark & EMR Kinesis Batch ECS
GPU CPU IoT Mobile
Apache MXNet Caffe 2 Theano PyTorch CNTKTensorFlow
Vision
Amazon Rekognition
Chat
Amazon Lex
Speech
Amazon Polly

12. Introducing Amazon AI
Polly
Text-to-Speech
Rekognition
Image Analysis
Lex
ASR & NLU
Apache MXNet
Apache
Deep learning framework

13. Amazon Polly: Life-like Speech Service
Converts text
to life-like speech
48 voices 24 languages Low latency,
real time
Fully managed

14. Amazon Rekognition: Search & Understand Visual Content
Real-time &
batch image
analysis
Object & Scene
Detection
Facial Detection Face SearchFacial Analysis

15. Rekognition: Object & Scene Detection
Beach
Coast
Outdoors
Sea
Water
Palm Tree
Plant
Tree
Island
Land
Landscape
Nature
Scenery
99.18%
99.18%
99.18%
99.18%
99.18%
99.18%
99.21%
99.21%
99.21%
58.3%
51.84%
51.84%
51.24%
Category Confidence

16. Demographic Data
Facial Landmarks
Sentiment Expressed
Image Quality
Brightness: 25.84
Sharpness: 160
General Attributes
Rekognition: Facial Detection

17. Amazon Rekognition: Facial Search
Facial
verification
Face
Search
Visual Similarity
Search
(compare two faces) (compare many faces) (find similar faces)

18. Conversational Access to Applications
I’d like to book a hotel
I want to make my hotel reservations
I want to book a hotel in New York City
Can you help me book my hotel?

19. Amazon Lex: Build Conversational Interfaces with Voice & Text
Utterances
Spoken or typed phrases that invoke
your intent
BookHotel
Intents
An Intent performs an action in
response to natural language user input
Slots
Slots are input data required to fulfil the
intent
Fulfilment
Fulfilment mechanism for your intent

20. Talk to me, sort of. (disclosure: actually talk to my bot)
www.facebook.com/ian.massingham.aws

21. Amazon Polly, Amazon Rekognition & Amazon Lex
High quality,
through
best-in-class
deep learning
Deep
functionality
Easy to use
& thoughtfully
integrated
Built for
production
Low
Cost
(free tier)

22. What about building & running your own custom
built Deep Learning applications on AWS?

23. Deep Learning 101?

24. Convolutional Neural Networks
Le Cun, 1998: handwritten digit recognition, 32x32 pixels
Feature extraction and downsampling allow smaller networks

25. Image Classification
http://image-net.org/challenges/LSVRC/
Same breed?
Humans:

26. Amazon EC2 P3 Instances
P3 instances allow you to build and deploy advanced
applications with up to 14 times better performance than
previous-generation Amazon EC2 GPU compute instances.
With up to 8 NVIDIA Tesla V100 GPUs, P3 instances
provide up to one petaflop of mixed-precision, 125 teraflops
of single-precision, and 62 teraflops of double-precision
floating point performance. P3 instances also feature up to
64 vCPUs based on custom Intel Xeon E5 (Broadwell)
processors and 488 GB of DRAM.
Machines that can perform up to 125
trillion calculations per second

27. AWS supports every major deep learning framework to provide data
scientists and developers with the most open and flexible environment
aws.amazon.com/blog/ai

28. aws.amazon.com/ai

29. Thank You. Any Questions?
You can reach me via email at ianm@amazon.com
@IanMmmm