Cloud AutoML Vision with Amy Unruh and Sara Robinson

Google Cloud Platform Podcast

Episode | Podcast

Date: Wed, 17 Jan 2018 00:00:00 +0000

<p><a href="https://twitter.com/amygdala">Amy Unruh</a> and <a href="http://twitter.com/SRobTweets">Sara Robinson</a> join the podcast this week to talk with <a href="https://twitter.com/Neurotic">Mark</a> and <a href="https://twitter.com/nyghtowl">Melanie</a> about the alpha launch of Cloud AutoML Vision.</p> <p>Cloud AutoML is a suite of products enabling developers with limited ML expertise to build high quality models using transfer learning and Neural Architecture Search techniques. AutoML Vision is the first product out the gate with a focus on making it easy to train customized vision models.</p> <h5 id="about-amy-unruh">About Amy Unruh</h5> <p>Amy is a developer relations engineer for the Google Cloud Platform, where she focuses on machine learning and data analytics as well as other Cloud Platform technologies. Amy has an academic background in CS/AI and has also worked at several startups, done industrial R&amp;D, and published a book on App Engine.</p> <h5 id="about-sara-robinson">About Sara Robinson</h5> <p>Sara is a developer relations engineer on Google’s Cloud Platform team, focusing on big data and machine learning. She worked on providing initial product feedback and building a demo for the AutoML Vision launch.</p> <h5 id="cool-things-of-the-week">Cool things of the week</h5> <ul> <li>Google Brain Looking Back on 2017 <a href="https://research.googleblog.com/2018/01/the-google-brain-team-looking-back-on.html"> blog</a> <ul> <li>Shout-out to <a href="https://twitter.com/kazunori_279">Kaz Sato</a> for his <a href="https://www.blog.google/topics/machine-learning/tensorflow-lends-hand-build-rock-paper-scissors-machine/"> TensorFlow Rock Paper Scissors example</a></li> </ul> </li> <li>Running dedicated game servers in Kubernetes Engine <a href="https://cloudplatform.googleblog.com/2018/01/running-dedicated-game-servers-in-Kubernetes-Engine-tutorial.html"> blog</a></li> <li>Kaggle Learn <a href="https://www.kaggle.com/learn/overview">site</a></li> </ul> <p>Honorable mention… - Scientists put a worm brain in a lego robot <a href="http://www.sciencealert.com/scientists-put-worm-brain-in-lego-robot-openworm-connectome"> blog</a></p> <h5 id="interview">Interview</h5> <ul> <li>Cloud AutoML: Making AI accessible to every business <a href="https://www.blog.google/topics/google-cloud/cloud-automl-making-ai-accessible-every-business/"> blog</a></li> <li>Cloud AutoML Vision <a href="https://cloud.google.com/automl/">site</a></li> <li>Cloud AutoML Vision Access Request | Whitelist Application <a href="https://services.google.com/fb/forms/cloudautomlalphaprogram/">form</a></li> <li>Cloud images example <a href="https://www.blog.google/topics/google-cloud/cloud-automl-making-ai-accessible-every-business/"> video</a> <ul> <li>Shout-out thanks to <a href="https://twitter.com/wundersooner">Rob Carver</a> for domain expertise in helping label cloud images.</li> </ul> </li> <li>Coastline images example <a href="https://storage.googleapis.com/aju-demos-coastline-images/metadata/README.txt"> readme</a> and filenames <a href="https://storage.googleapis.com/aju-vtests2-vcm/metadata/coastline_shuffled.csv"> csv</a></li> <li>Using Machine Learning to Explore Neural Network Architecture <a href="https://research.googleblog.com/2017/05/using-machine-learning-to-explore.html"> blog</a></li> <li>Learning Transferable Architecture for Scalable Image Recognition <a href="https://arxiv.org/abs/1707.07012">arXiv paper</a></li> <li>Neural Architecture Search with Reinforcement Learning <a href="https://arxiv.org/abs/1611.01578">arXiv paper</a></li> <li>Progressive Neural Architecture Search <a href="https://arxiv.org/abs/1712.00559">arXiv paper</a></li> <li>Learning2learn <a href="https://www.safaribooksonline.com/library/view/oreilly-artificial-intelligence/9781491985250/video314918.html"> video</a></li> <li>Cloud Vision <a href="https://cloud.google.com/vision/">site</a> <a href="https://cloud.google.com/vision/docs/">docs</a><br /></li> </ul> <h5 id="question-of-the-week">Question of the week</h5> <p>How does someone in academia get GCP credits?</p> <ul> <li>Google Cloud Platform Education Grants <a href="https://cloud.google.com/edu/">site</a></li> </ul> <h5 id="where-can-you-find-us-next">Where can you find us next?</h5> <p>Melanie is speaking at <a href="https://theaicongress.com/">AI Congress</a> in London Jan 30th and she will be at <a href="https://fosdem.org/2018/">FOSDEM</a> in Brussels in Feb.</p> <p>Mark will be at the <a href="http://www.gdconf.com/">Game Developer’s Conference | GDC</a> in March.</p>