Machine Learning with Google Cloud Platform

Transcription

1 Machine Learning with Google Cloud Platform March 13th, 2018 Brian Vinson Customer Engineer

2 Machine learning is a branch of artificial intelligence a way to solve problems without explicitly codifying the solution a way to build systems that improve themselves over time 2017 Google Inc. All rights reserved.

3 Why partner with Google on AI? Scale Instant access to thousands of machines with Google Cloud Speed Best performance for AI workloads with customized hardware and Cloud TPUs Quality Pre-trained AI building blocks solve business needs, with the highest quality Customization Cloud AutoML and ML Engine to customize models, and advanced solutions lab for deeper needs

4 Google is the world leader in applying Machine Learning to real world situations, inside and outside of Google... Search Android Play Search Ranking Speech Recognition Keyboard and Speech Input App Recommendations Game Developer Experience Gmail Drive Chrome Smart Reply Spam Classification Intelligence in Apps Search by Image Photos YouTube Maps Photos Search Video Recommendations Better Thumbnails Street View Image Parsing Local Search Translate Cardboard Ads Text, Graphic and Speech Translations Smart Stitching Richer Text Ads Automated Bidding Self Driving Car Data Center Power Usage Alpha Go 1.5MM miles driven Reduced cooling energy 40% First AI to beat a world Go champion (2016)

5 Google DC Ops Applying ML lead to 40% reduction in cooling energy in Google datacenters.

6 Purpose-built hardware infrastructure Provenance from the bottom of the stack to the top Purpose-built chips Purpose-built servers Google Security Engineering Purpose-built network Purpose-built data centers Reduced vendor in the middle risk Confidential & Proprietary

7 Google Cloud Network FASTER (US, JP, TW) 2016 Unity (US, JP) 2010 PLCN (HK, LA) 2019 SJC (JP, HK, SG) 2013 Network Network sea cable investments Edge points of presence >100 Edge node locations >1000 Indigo (SG, ID, AU) 2019 Monet (US, BR) 2017 Junior (Rio, Santos) 2017 Tannat (BR, UY, AR) 2017

8

9 Three Flavors of Machine Learning Custom ML models TensorFlow Customizable ML solutions A Pre-trained ML models Vision API Speech API Jobs API Translation API Video Intelligence API Auto ML Machine Learning Engine Natural Language API

10 Cloud ML Engine For large scale deep learning Simple API (train, batch predict, online predict, manage model) Managed TensorFlow: regression, trees, SVMs, NN, RNN, CNN, etc. Accelerators everywhere (CPU, GPU, TPU) at scale Mobile + embedded deployments supported Jupyter notebooks for data exploration and visualization Confidential & Proprietary

11 Speed through Cloud TPU Like fast forwarding 7 years into the future Versus conventional processors: Training a large scale model: 15-30x faster 30-80x operations per watt 24 hours on 32 GPUs 6 hours on ⅛ of a TPU Pod Confidential & Proprietary

12 Google Cloud : A Platform Ready for ML Open source ML library (first on GitHub) Design-to-build models (simple to deep) Deploy easily in the cloud using Cloud Machine Learning Engine CPU GPU TPU

13 We ve done the hard work for common scenarios Cloud Translation Cloud Vision Cloud Natural Language Cloud Speech Cloud Video Intelligence Cloud Jobs Dialogflow Enterprise Edition Confidential & Proprietary

14 Dialogflow empowers developers to build natural and rich conversational experiences Dialogflow is one of the most widely adopted conversation solutions in the market today with hundreds of thousands of developers Confidential & Proprietary

15 Why Dialogflow Build faster Engage efficiently Maximize reach Start training with only a few examples Advanced natural language understanding and machine learning Build once, deploy everywhere 40+ pre-built agents and small talk features Advanced fulfillment options including built-in code editor 14+ languages Go-to-market with simple bots in hours Training and analytics across platforms 32 platform integrations and SDKs Confidential & Proprietary

16 Cloud AutoML AutoML Vision Photo dataset Train Deploy Serve Generate predictions with a REST API

17 Snow or Clouds?

18 Google Cloud AI technology stack Customization and solutions AI building blocks Cloud ML Engine/Datalab TensorFlow Cloud TPU Google Cloud Confidential & Proprietary

19 DEMO!!

20 Thank You! Brian Vinson Google Cloud Customer Engineer