AI & Deep Learning At Amazon - April 2017 AWS Online Tech Talks
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Transcript of AI & Deep Learning At Amazon - April 2017 AWS Online Tech Talks
Artificial Intelligence
At Amazon
Artificial Intelligence At AmazonThousands Of Employees Across The Company Focused on AI
Discovery &
Search
Fulfillment &
Logistics
Enhance
Existing Products
Define New
Categories Of
Products
Bring Machine
Learning To All
“deep learning” trend in the past 10
years
image understanding speech recognition natural language
processing
Deep Learning is Growing
autonomy
The Advent Of
Deep Learning
Algorithms
The Advent Of
Deep LearningData
Algorithms
The Advent Of
Deep LearningData
GPUs
& Acceleration
Algorithms
The Advent Of
Deep LearningData
GPUs
& Acceleration
Programming
models
Algorithms
The Advent Of
Deep LearningData
GPUs
& Acceleration
Programming
models
Algorithms
AWS
Amazon AIIntelligent Services Powered By Deep Learning
Introducing Amazon AI
Apache MXNetDeep learning engine
Introducing Amazon AI
PollyText-to-Speech
Apache MXNetDeep learning engine
Introducing Amazon AI
PollyText-to-Speech
Apache MXNetDeep learning engine
RekognitionImage Analysis
Introducing Amazon AI
PollyText-to-Speech
Apache MXNetDeep learning engine
Rekognition LexImage Analysis ASR & NLU
Introducing Amazon AI
PollyText-to-Speech
Apache MXNetDeep learning engine
Rekognition LexImage Analysis ASR & NLU
Apache MXNet
Programmable Portable High Performance
Near linear scaling
across hundreds of GPUs
Highly efficient
models for mobile
and IoT
Simple syntax,
multiple languages
Why Apache MXNet?
Most Open Best On AWS
Optimized for
deep learning on AWS
Accepted into the
Apache Incubator
(Integration with AWS)
Apache MXNet is the deep learning framework
of choice for Amazon
P2 INSTANCES DEEP TEMPLATEDEEP AMI
One-Click
Deep Learning
AWS Deep Learning AMI
(Amazon Linux, Ubuntu)
Up to~40k CUDA cores
Apache MXNet
TensorFlow
Theano
Caffe
Torch
Pre-configured CUDA drivers
Anaconda, Python3
+ CloudFormation template
+ Container Image
Introducing Amazon AI
PollyText-to-Speech
Apache MXNetDeep learning engine
Rekognition LexImage Analysis ASR & NLU
Amazon Polly: Life-like Speech Service
Converts text
to life-like speech
47 voices 24 languages Low latency,
real time
Fully managed
Let’s take a listen…
“Today in Seattle, WA, it’s 11°F”
‘"We live for the music" live from the Madison Square Garden.’
1. Automatic, Accurate Text Processing
Polly: A Focus On Voice Quality & Pronunciation
Polly: A Focus On Voice Quality & Pronunciation
2. Intelligible and Easy to Understand
1. Automatic, Accurate Text Processing
2. Intelligible and Easy to Understand
3. Add Semantic Meaning to Text
“Richard’s number is 2122341237“
“Richard’s number is 2122341237“
Telephone Number
Polly: A Focus On Voice Quality & Pronunciation
1. Automatic, Accurate Text Processing
2. Intelligible and Easy to Understand
3. Add Semantic Meaning to Text
4. Customized Pronunciation
“My daughter’s name is Kaja.”
“My daughter’s name is Kaja.”
Polly: A Focus On Voice Quality & Pronunciation
1. Automatic, Accurate Text Processing
Polly: Life-like Speech Service
High quality,
through
best-in-class
deep learning
Deep
functionality
Easy to use
& thoughtfully integrated
Built for
production
Low
cost
Introducing Amazon AI
PollyText-to-Speech
Apache MXNetDeep learning engine
Rekognition LexImage Analysis ASR & NLU
Rekognition: Search & Understand Visual Content
Real-time &
batch image
analysis
Object & Scene
DetectionFacial Detection Face SearchFacial Analysis
Rekognition: Object & Scene Detection
Bay
Beach
Coast
Outdoors
Sea
Water
Palm_tree
Plant
Tree
Summer
Landscape
Nature
Hotel
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
Rekognition: Facial Detection
Rekognition: Facial Analysis
Emotion: calm: 73%
Sunglasses: false (value: 0)
Mouth open wide: 0% (value: 0)
Eye closed: open (value: 0)
Glasses: no glass (value: 0)
Mustache: false (value: 0)
Beard: no (value: 0)
Rekognition: Facial Search
Facial
verification
Face
Search
Visual Similarity
Search
(compare two faces) (compare many faces) (find similar faces)
DEMO
High quality,
through
best-in-class
deep learning
Deep
functionality
Easy to use
& thoughtfully integrated
Built for
production
Low
cost
Rekognition: Search & Understand Visual Content
Introducing Amazon AI
PollyText-to-Speech
Apache MXNetDeep learning engine
Rekognition LexImage Analysis ASR & NLU
The Advent Of Conversational Interactions
1st Gen: Machine-oriented
interactions
The Advent Of Conversational Interactions
1st Gen: Machine-oriented
interactions
2nd Gen: Control-oriented
& translated
The Advent Of Conversational Interactions
1st Gen: Machine-oriented
interactions
2nd Gen: Control-oriented
& translated
3rd Gen:
Intent-oriented
Lex: Build Natural, Conversational Interactions In Voice & Text
Voice & Text
“Chatbots”
Powers
Alexa
Voice interactions
on mobile, web
& devices
Text interaction
with Slack & Messenger
Enterprise
Connectors
(with more coming) Salesforce
Microsoft Dynamics
Marketo
Zendesk
Quickbooks
Hubspot
DEMO
High quality,
through
best-in-class
deep learning
Deep
functionality
Easy to use
& thoughtfully integrated
Built for
production
Low
cost
Lex: Build Natural, Conversational Interactions In Voice & Text
PollyText-to-Speech
Apache MXNetDeep learning engine
Rekognition LexImage Analysis ASR & NLU
Amazon AI: What’s Next?
Amazon AI: What’s Next?
Polly
Text-to-Speech
Apache MXNet
Deep learning engine
Rekognition Lex
Image Analysis ASR & NLU
New APIs
and tools
https://aws.amazon.com/amazon-ai/
Amazon AI: Getting Started
Thank you!