Machine Learning in the Cloud

Aug 4th 2017 - LGBTech Event Amsterdam @ Google

Transcript

1. Confidential + Proprietary Confidential + Proprietary Lee Boonstra - Customer Engineer, Google Cloud Machine Learning in the Cloud
2. About me Lee Boonstra, Customer Engineer & Gaygler Google Cloud leeboonstra@google.com
4. Current GCP Region Edge points of presence Data centers across the world Singapore S Carolina N Virginia London Tokyo Taiwan Mumbai Sydney Oregon Iowa São Paulo Finland Belgium Frankfurt 2017 GCP Region Fastest, most reliable network
6. Proprietary + Confidential Proprietary + Confidential How Data becomes BigData
7. 7 Storage Compute
9. 9 What’s Machine Learning
10. It’s easier to make computers learn than to build smarter computers Machine Learning Process of making computers learn Artificial Intelligence Process of building smarter computers
11. 11 Recognizing a dog vs a mop. “Oh, that’s easy!”
12. 12 Well, wait a minute...
13. 13 Result
14. 14 What’s Machine Learning? Neural Networks
15. Why now? Amount of data Better Models More Computing Power
16. Why Google? Tensorflow is what we use for our own internal machine learning projects, and now it’s available to you! Google made it open source. • More than 480 contributions • 10,000 commits in a year • 53k star rating Tutorials to get started at https://www.tensorflow.org
17. Two ways we can help you benefit from ML Use your own data to train models Ready to use Machine Learning models Cloud Vision API Cloud Translation API Cloud Natural Language API Cloud Speech API Cloud Machine Learning Engine TensorFlow Cloud Jobs API Cloud Video Inelligence
18. Vision API Detect broad sets of categories within an image, ranging from modes of transportation to animals. Analyze facial features to detect emotions: joy, sorrow, anger. Detect logos. Detect and extract text within an image, with support for a broad range of languages, along with support for automatic language identification. Extract text Detect different types of inappropriate content from adult to violent content. Powered by Google Safe Search Detect inappropriate content Object Recognition Facial sentiment & logos
19. Speech API Powered by deep learning neural networking to power your applications.. No need for signal processing or noise cancellation before calling API. Can handle noisy audio from a variety of environments. Noise Robustness Can provide context hints for improved accuracy. Especially useful for device and app use cases. Word Hints Speech Recognition Recognizes over 80 languages & variants. Can also filter inappropriate content in text results Over 80 languages Can stream text results, returning partial recognition results as they become available. Can also be run on buffered or archived audio files. Real-time results
20. Natural Language API Identify entities and label by types such as person, organization, location, events, products and media. Enables you to easily analyze text in multiple languages including English, Spanish and Japanese. Extract tokens and sentences, identify parts of speech (PoS) and create dependency parse trees for each sentence. Syntax analysis Entity Recognition Multi-Language Support Understand the overall sentiment expressed in a block of text. Sentiment Analysis
21. Translation API Supports more than 100 languages and thousands of language pairs. Behind the scenes, Translation API is learning from logs analysis and human translation examples. Existing language pairs improve and new language pairs come online at no additional cost. Sometimes you don’t know your source text language in advance. Can automatically identify languages with high accuracy. Automatic language detection The Premium edition is tailored for users who need precise, long-form translation services (e.g. livestream translations, high volume of emails, detailed articles and documents) Premium edition BETA Text Translation Continuous Updates
25. BETA: Video Intelligence API Detect entities within the video, such as "dog", "flower" or "car". You can now search your video catalog the same way you search text documents.. Extract actionable insights from video files without requiring any machine learning or computer vision knowledge. Enable Video Search More features will be added to the Video Intelligence API during the BETA period. More to come ... BETA Label Detection Insights From Videos
26. Proprietary + Confidential Demo
27. 27 Google Cloud brings battle hardened tech from Google products
28. Thank you! Lee Boonstra - leeboonstra@google.com - @ladysign