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20171104 Introduction to Amazon AI and Machine Learning #jawsfesta #jawsug

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11月4日のJAWS FESTA 中四国 2017 in 愛媛松山でお話した資料です。

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20171104 Introduction to Amazon AI and Machine Learning #jawsfesta #jawsug

  1. 1. Takuya Oketani, Solutions Architect 2017.11.04 Introduction to Amazon AI and Machine Learning
  2. 2. Who am I Takuya Oketani Solutions Architect Solutions Architecture, Osaka Amazon Web Services Japan K.K. @okeee0315 Amazon SQS Amazon Lex / Polly / Rekognition
  3. 3. Hashtag #jawsfesta #jawsug
  4. 4. www.slideshare.net/okeee0315
  5. 5. Agenda • Deep Learning, Machine Learning, Artificial Intelligence • What is Deep Learning ? • Amazon AI and Machine Learning
  6. 6. Deep Learning, Machine Learning, Artificial Intelligence
  7. 7. Deep Learning, Machine Learning, Artificial Intelligence 7 Artificial Intelligence Machine Learning Deep Learning
  8. 8. Deep Learning, Machine Learning, Artificial Intelligence 8 Artificial Intelligence Machine Learning Deep Learning
  9. 9. Deep Learning, Machine Learning, Artificial Intelligence 9 Artificial Intelligence Machine Learning Deep Learning Strong AI
  10. 10. Deep Learning, Machine Learning, Artificial Intelligence 10 Artificial Intelligence Weak AI Machine Learning Deep Learning
  11. 11. Deep Learning, Machine Learning, Artificial Intelligence 11 Artificial Intelligence Machine Learning Deep Learning
  12. 12. Deep Learning, Machine Learning, Artificial Intelligence 12 Artificial Intelligence Machine Learning Deep Learning
  13. 13. What is Deep Learning ? Machine Learning https://ja.wikipedia.org/wiki/
  14. 14. Example of Deep Learning
  15. 15. What is Deep Learning ? Machine Learning https://ja.wikipedia.org/wiki/
  16. 16. Neural Network • • • Original Update by Tsahi Levent-Levi / https://www.flickr.com/photos/126293865@N04/14953538130
  17. 17. Neural Network • •
  18. 18. Neural Network
  19. 19. Inference by Neural Network
  20. 20. Learning of Neural Network
  21. 21. Training Prediction
  22. 22. Training Prediction
  23. 23. Training Prediction
  24. 24. Training Prediction
  25. 25. Training Prediction
  26. 26. Amazon AI and Machine Learning
  27. 27. 4 AWS AI ServicesAmazon Rekognition Amazon Polly Amazon Lex More to come in 2017 AI Platform Amazon Machine Learning Amazon Elastic MapReduce Spark & SparkML More to come in 2017 Apache MXNet AI EnginesTensorFlow Caffe Torch Theano CNTK Keras EMR/Spark ECS Lambda GreenGrass FPGA More to Come In 2017 HardwareG2 / P2
  28. 28. 4 AWS AI ServicesAmazon Rekognition Amazon Polly Amazon Lex More to come in 2017 AI Platform Amazon Machine Learning Amazon Elastic MapReduce Spark & SparkML More to come in 2017 Apache MXNet AI EnginesTensorFlow Caffe Torch Theano CNTK Keras EMR/Spark ECS Lambda GreenGrass FPGA More to Come In 2017 HardwareG2 / P2
  29. 29. AI Engines and Hardware • eep Learning Framework • Apache MXNet TensorFlow Theano Caffe Caffe2 CNTK Torch Keras Chainer DSSTNE Paddle…etc
  30. 30. AI Engines and Hardware https://aws.amazon.com/marketplace/pp/B01M0AXXQB?qid=1475211685369&sr=0-1&ref_=srh_res_product_title • Deep Learning AMI • Deep Learning Framework • OS Amazon Linux Ubuntu • MXNet Tensorflow Theano Caffe Caffe2 CNTK Torch Keras
  31. 31. AWS MXNet • GPU • AWS • CloudFormation MXNet http://aws.typepad.com/sajp/2016/11/mxnet-default-framework-deep-learning-aws.html
  32. 32. AI Engines and Hardware • P2 Instance • GPU NVIDIA Tesla K80 16 • GPU Instance Name GPU Count Memory GPU Memory Network Performance p2.xlarge 1 61GiB 12 GiB High p2.8xlarge 8 488GiB 96 GiB 10 Gigabit p2.16xlarge 16 732GiB 192 GiB 20 Gigabit
  33. 33. AI Engines and Hardware • P3 Instance • NVIDIA Tesla V100 8
  34. 34. Instance Name GPU Count Memory GPU Memory Network Performance p3.2xlarge 1 61GiB 16 GiB Up to 10 Gbps p3.8xlarge 4 244GiB 64 GiB 10 Gbps p3.16xlarge 8 488GiB 128 GiB 25 Gbps AI Engines and Hardware • P3 Instance • NVIDIA Tesla V100 8
  35. 35. Greengrass • • AWS Lambda • Device State Action Device Gateway Messages Authentication & Authorization Security
  36. 36. 4 AWS AI ServicesAmazon Rekognition Amazon Polly Amazon Lex More to come in 2017 AI Platform Amazon Machine Learning Amazon Elastic MapReduce Spark & SparkML More to come in 2017 Apache MXNet AI EnginesTensorFlow Caffe Torch Theano CNTK Keras EMR/Spark ECS Lambda GreenGrass FPGA More to Come In 2017 HardwareG2 / P2
  37. 37. Amazon Machine Learning Amazon Redshift Redshift Amazon ML S3 Redshift 2
  38. 38. • Hadoop • HDFS S3 • • Spark MLlib Mahout 38
  39. 39. 4 AWS AI ServicesAmazon Rekognition Amazon Polly Amazon Lex More to come in 2017 AI Platform Amazon Machine Learning Amazon Elastic MapReduce Spark & SparkML More to come in 2017 Apache MXNet AI EnginesTensorFlow Caffe Torch Theano CNTK Keras EMR/Spark ECS Lambda GreenGrass FPGA More to Come In 2017 HardwareG2 / P2
  40. 40. Amazon AI Polly LexRekognition
  41. 41. Amazon Rekognition
  42. 42. 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%
  43. 43. • Explicit Nudity • • • • • • Suggestive • • •
  44. 44. Gender: Female: 100% Age Range: 26-43 years old Emotion: calm: 73% Eye closed: open (value: 0) Glasses: no glass (value: 0) Sunglasses: false (value: 0) Mouth open: false (value: 0) Mustache: false (value: 0) Beard: no (value: 0)
  45. 45. IndexFaces SearchFacesByImage
  46. 46. Amazon Rekognition • • • • •
  47. 47. Amazon Polly
  48. 48. Text-to-Speech n • • SSML n n • MP3 / Ogg Vorbis • PCM PCM SynthesizeSpeech API
  49. 49. • • • Today in Las Vegas, NV it's 90°F. "We live for the music", live from the Madison Square Garden.
  50. 50. • • SSML • <speak> My name is Kawahara. It is spelled <prosody rate='x-slow'> <say-as interpret-as="characters">Kawahara</say-as> </prosody> </speak> W3C is a Consortium. <lexeme> <grapheme>W3C</grapheme> <alias>World Wide Web Consortium</alias> </lexeme>
  51. 51. 1 1 SSML <mark>
  52. 52. Amazon Polly • • E • • IoT •
  53. 53. Alexa Slack FB Salesforce Microsoft Dynamics Marketo Zendesk Quickbooks HubSpot Amazon Lex
  54. 54. Utterances BookHotel Intents Slots Fulfillment
  55. 55. Book a Hotel “Book a Hotel in NYC” Hotel Booking City New York City CheckIn Nov 30th CheckOut Dec 2nd “Your hotel is booked for Nov 30th” Confirmation: “Your hotel is booked for Nov 30th” Yes Intent/Slot Utterances “Can I go ahead with the booking? No NLU Book Hotel NYC ASR Hotel Booking New York City a in Polly(TTS)
  56. 56. Amazon Lex • • • • IoT
  57. 57. § Deep Learning Machine Learning § Deep Learning Framework § AWS Summary
  58. 58. Thank you!

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