ai services aws - taglit

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HUStart Taglit – AWS Herzelia

January 2018

AI Services on AWSBoaz Ziniman – Technical Evangelist, AWS

@ziniman


The difficulty comes in writing software that will make sense

of the data

© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.

Artificial Intelligence

A system or service which can perform tasks that usually require human intelligence


25,000 skills


And a few more examples…

Fraud detection Detecting fraudulent transactions, filtering spam emails, flagging suspicious reviews, …

Personalization Recommending content, predictive content loading, improving user experience, …

Targeted marketing Matching customers and offers, choosing marketing campaigns, cross-selling and up-selling, …

Content classification Categorizing documents, matching hiring managers and resumes, …

Churn prediction Finding customers who are likely to stop using the service, free-tier upgrade targeting, …

Customer support Predictive routing of customer emails, social media listening, …


Machine Learning On AWS Today


VI S I ON LANGUAGE

A P P L I C A T I O N S E R V I C E S

Amazon Rekognition Image Amazon Polly Amazon Lex

Amazon Rekognition Video Amazon Transcribe Amazon Translate Amazon ComprehendNEW NEWNEWNEW

Amazon AI Ecosystem


General-purpose GPU compute applications.Features:• High Frequency Intel Xeon E5-2686v4 (Broadwell)• High-performance NVIDIA V100 GPUs, each with

5,120 GPU cores + 640 Tensor cores and 16GiB of GPU memory

• Supports GPUDirect™• Enhanced Networking• EBS-optimized by default at no additional cost

Amazon EC2 P3 Instances

Instance Size GPUs GPU Peer to Peer

vCPUs Memory (GiB)

Network Bandwidth*

p3.2xlarge 1 - 8 61 Up to 10Gbpsp3.8xlarge 4 Y 32 244 10Gbpsp3.16xlarge 8 Y 64 488 25Gbps


Expedia - Ranking Hotel Images

• Leading online travel company• How to improve hotels listing images?

• Use GPUs and deep learning to rank hotel images• Build a model based on 100K images

• How to rank 10M images?• Use data parallelization across multiple GPUs on AWS• Improve ranking time from more than a week to 1 day


VI S I ON LANGUAGE




Amazon AI Ecosystem


One-ClickDeep Learning

AWS Deep Learning AMIsAmazon Linux & Ubuntu

Up to~40k CUDA cores

Apache MXNetTensorFlow

Theano

Keras

Caffe

CNTK

Torch

Pre-configured CUDA drivers

Anaconda, Python3

Out-of-the-box Tutorials

+ CloudFormation template+ Container Image

Available in the AWS Marketplace


Can We Help CustomersPut Intelligence At The Heart Of Every Application & Business?


VI S I ON LANGUAGE




Amazon AI Ecosystem


Amazon

Rekognition

Object and scene detection

Facial analysis

Face comparison

Celebrity recognition

Image moderation

Amazon Rekognition: Images In, Rich Metadata Out


Object & Scene Detection


Facial Analysis


Smiling?

Facial Analysis

(Deep) Learning from a Masterpiecehttp://bit.ly/MonaLisaAI


Celebrity Recognition


Facial Search


Explicit Nudity

Nudity

Graphic Male Nudity

Graphic Female Nudity

Sexual Activity

Partial Nudity

Suggestive

Female Swimwear or Underwear

Male Swimwear or Underwear

Revealing Clothes

Image moderation


Amazon Rekognition Customers

Digital Asset ManagementMedia and EntertainmentTravel and HospitalityInfluencer MarketingSystems IntegrationDigital AdvertisingConsumer StorageLaw EnforcementPublic SafetyeCommerceEducation


R e a l - t i m e a n d b a t c h v i d e o a n a l y t i c sGeneral ly avai lable today

NEW! Amazon Rekognition Video


AMAZON REKOGNITION VIDEO

A M A Z O N R E K O G N I T I O N

V I D E O

Video in. People, activities, and details out.

Objects and scenes

Facial analysis and recognition

Inappropriate content detection

Celebrity recognition

Person tracking


AMAZON REKOGNITION VIDEO

Easy to use Batch

processing

Processesreal-time

video

Continually

trained

Low costTimestamp generation


Amazon Polly

“Today in Seattle, WA it’s 11°F”

“Today in Seattle Washington it’s 11 degrees Fahrenheit”

Amazon Polly: Text In, Life-like Speech Out

52 voices across 25 languages


A Focus On Voice Quality & Pronunciation

1. Automatic, Accurate Text Processing• “Today in Seattle, WA, it’s 11°F”• ‘"We live for the music" live from the Madison Square Garden.’



1. Automatic, Accurate Text Processing2. Intelligible and Easy to Understand



1. Automatic, Accurate Text Processing2. Intelligible and Easy to Understand3. Add Semantic Meaning to Text


https://www.w3.org/TR/speech-synthesis/

<speak>The spelling of my name is

<prosody rate='x-slow'><say-as interpret-as="characters">Boaz</say-as>

</prosody></speak>





• “Richard’s number is 2122341237“<say-as interpret-as="telephone">




• “Richard’s number is 2122341237“ • “My daughter’s name is Kaja.”





4. Amazon Polly-specific tags• dynamic range compression (drc)

<speak><prosody volume="loud">This text needs to be understandable

and loud.<amazon:effect name="drc">This text also needs to be more

understandable in a moving car.</amazon:effect></prosody></speak>





4. Amazon Polly-specific tags• dynamic range compression (drc)• whispered


Duolingo voices its language learning service Using Polly

Duolingo is a free language learning service where users help translate the web and rate translations.

With Amazon Polly our users benefit from the most lifelike Text-to-Speech voices available on the market.

Severin HackerCTO, Duolingo

”“ • Spoken language crucial for

language learning

• Accurate pronunciation matters

• Faster iteration thanks to TTS

• As good as natural human speech


A u t o m a t i c s p e e c h r e c o g n i t i o n

Avai lable in preview today

NEW!

A m a z o n

T r a n s c r i b e


Amazon Transcribe

Support for telephony audio

Timestamp generation

Intelligent punctuation and

formatting

Recognize multiplespeakers

Customvocabulary

Multiple

languages

A u t o m a t i c c o n v e r s i o n o f s p e e c h i n t o a c c u r a t e , g r a m m a t i c a l l y c o r r e c t t e x t


A u t o m a t i c a l l y t r a n s l a t e s

t e x t b e t w e e n l a n g u a g e s

Avai lable in preview today

A m a z o n

T r a n s l a t e

NEW!


Amazon Translate

Real-time translation Batch analysis Automatic language recognition Low cost


Buy what does all this text mean?


F u l l y m a n a g e d n a t u r a l l a n g u a g e p r o c e s s i n g

General ly avai lable today

NEW!A m a z o n

C o m p r e h e n d


Discover valuable insights from text

Entities

Key Phrases

Language

Sentiment

Amazon

Comprehend

Amazon Comprehend


STORM

WORLD SERIES

STOCK MARKET

WASHINGTON

LIBRARY OF

NEWS ARTICLES

Amazon

Comprehend

Discover valuable insights from text

Amazon Comprehend


DEMO


Amazon LexAutomatic Speech Recognition

Natural Language Understanding

“What’s the weather forecast?”

WeatherForecast

Amazon Lex: Speech Recognition & Natural Language Understanding


Amazon LexAutomatic Speech Recognition

Natural Language Understanding

“What’s the weather forecast?”

“It will be sunny and 25°C”

WeatherForecast

Speech Recognition & Natural Language Understanding


VI S I ON LANGUAGE




Amazon AI Ecosystem


Amazon AI Services

High quality,through

best-in-classdeep learning

Deep functionality

Easy to use& thoughtfully

integrated

Built forproduction

Lowcost


Smile!@ziniman


Thank you!@ziniman


@[email protected]

Artificial Intelligence Workshop

January 2018Boaz Ziniman - Technical Evangelist - AWS


What to expect

Rekognition – Image recognition (20 min)• 5,000 images per month and store up to 1,000 face metadata

each month, for the first 12 months.

Polly – Text to Speech (10 min)• 5 million characters per month for speech or Speech Marks

requests, for the first 12 months

Lex – Building a chatbot (10 min)• 10,000 text requests and 5,000 speech requests per month for

free for the first year.


Rekognition

• Login to AWS Console - https://console.aws.amazon.com/• Go to Rekognition UI (Try Demo)• Try all 5 demos with photos you take/found online

• Object and scene detection• Image moderation• Facial analysis• Celebrity recognition• Face comparison


Polly

• Login to AWS Console - https://console.aws.amazon.com/• Go to Polly UI• Play with the Plain text tab

• Save some of the files locally

• Open SSML docs - http://bit.ly/AWS-SSML(Using SSML with the Amazon Polly Console)

• Find a dialog from a movie you like (http://www.simplyscripts.com/)

• Try to use SSML to give life to this dialog with Polly


Lex

• Login to AWS Console - https://console.aws.amazon.com/• Go to Lex UI (Try Demo)• Create a new Bot• Choose one of the 3 sample bots• Chat with your bot• Try to change some of the answers (don’t forget to re-build)

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