Introduction Google Cloud ML APIs

Transcript

1. Google Cloud ML APIs Speech, Vision and Natural language Ahmed Sobhy | @Sobhydo | www.xiot.io
2. Ahmed Sobhy CEO at XIOT.io | @Sobhydo
4. Intro to ML ,DL ,AI ,Algorithm and BD
5. How a computer sees an image
7. How it Works !
8. The dimension of data are: • CPU: 1 X 1 data unit • GPU: 1 X N data unit • TPU: N X N data unit As a comparison, consider this: • CPU can handle tens of operation per cycle • GPU can handle tens of thousands of operation per cycle • TPU can handle upto 128000 operations per cycle CPU GPU TPU
9. CPU vs GPU vs TPU CPU GPU TPU
11. What Is an Algorithm ? - An algorithm is a set of rules to be followed when solving problems. In machine learning, algorithms take in data and perform calculations to find an answer. - Algorithms need to be trained to learn how to classify and process information. The efficiency and accuracy of the algorithm are dependent on how well the algorithm was trained. - Using an algorithm to calculate something does not automatically mean machine learning or AI was being used. All squares are rectangles, but not all rectangles are squares.
13. At the most basic level, machines equipped with AI imitate the human thought process such as the ability to identify an apple and orange. Source ( qualcomm)
14. With machine learning, a system improves its pattern recognition capabilities by learning from its own mistakes. Source ( qualcomm)
15. Through deep learning, a machine can process large amounts of data, recognize complex patterns, and provide more detailed insights. Source ( qualcomm)
17. © quora.com
18. How Can You Get Started with Machine Learning?
19. Are you a developer? ML expert? Data scientist? All of the above?
20. Democratizing ML
21. Three ways, with varying complexity: (1) Use a Cloud-based or Mobile API (Vision, Natural Language, etc.) (2) Use an existing model architecture, and retrain it or fine tune on your dataset (3) Develop your own machine learning models for new problems How Can You Get Started with Machine Learning? More flexible, but more effort required
22. Cloud Machine Learning APIs See, Hear and Understand the world
23. Cloud Natural Language Cloud Speech Cloud Translate Cloud Vision
24. Faces Faces, facial landmarks, emotions OCR Read and extract text, with support for > 10 languages Label Detect entities from furniture to transportation Logos Identify product logos Landmarks & Image Properties Detect landmarks & dominant color of image Safe Search Detect explicit content - adult, violent, medical and spoof Cloud Vision API
25. API Usage: Detect Objects in an Image Image Detected Items Vision API Create JSON request with the image or pointer to an image Process the JSON response Call the REST API 1 2 3
26. Vision API Demo
27. Cloud Speech API Automatic Speech Recognition (ASR) powered by deep learning neural networking to power your applications like voice search or speech transcription. Recognizes over 80 languages and variants with an extensive vocabulary. Returns partial recognition results immediately, as they become available. Filter inappropriate content in text results. Audio input can be captured by an application’s microphone or sent from a pre-recorded audio file. Multiple audio file formats are supported, including FLAC, AMR, PCMU and linear-16. Handles noisy audio from many environments without requiring additional noise cancellation. Audio files can be uploaded in the request and, in future releases, integrated with Google Cloud Storage. Automatic Speech Recognition Global Vocabulary Inappropriate Content Filtering Streaming Recognition Real-time or Buffered Audio Support Noisy Audio Handling Integrated API
28. Speech Demo
29. Speech Demo
30. Real application
31. Examples of Machine Learning
34. [glacier] Google Photos
36. Qwiklabs Free Access bit.ly/mena-06jul19-ml
37. Qwiklabs Free Access bit.ly/mena-16jul19-ml Labs bit.ly/speech-qwiklabs Labs bit.ly/vision-qwiklabs Labs bit.ly/video-qwiklabs Labs bit.ly/extract-qwiklabs
38. Qwiklabs Free Access bit.ly/mena-16jul19-ml Labs qwiklabs.com/quests/32 Break for 5 minutes! Back soon :)
39. • Free Qwiklabs Access bit.ly/mena-16jul19-ml • Free Coursera Access bit.ly/studyjam-coursera • All Recorded sessions bit.ly/gdr-online-2019 • Feedback Form bit.ly/studyjam-feedback • Full schedule bit.ly/session-schedule
40. Prize bit.ly/gdr-prize
41. Codelabs codelabs.developers.google.com/codelabs/cloud-vision-intro/index.html codelabs.developers.google.com/codelabs/cloud-speech-intro/index.html codelabs.developers.google.com/codelabs/cloud-nl-intro/index.html For Developers cloud.google.com/vision/ cloud.google.com/speech/ cloud.google.com/natural-language/ cloud.google.com/translate/ Stack Overflow What's Next
42. tensorflow.org github.com/tensorflow Want to learn more? Udacity class on Deep Learning, goo.gl/iHssII Guides, codelabs, videos MNIST for Beginners, goo.gl/tx8R2b TF Learn Quickstart, goo.gl/uiefRn TensorFlow for Poets, goo.gl/bVjFIL ML Recipes, goo.gl/KewA03 TensorFlow and Deep Learning without a PhD, goo.gl/pHeXe7 What's Next
43. Something Free • https://cloud.google.com/free/ • Free Trial: $300 and 12 months • Free Tier extends beyond 12 months too (Always Free)
44. Questions?
45. Thank you! @Sobhydo www.xiot.io