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Machine learning has had a huge impact on computer science, making it possible explore new frontiers of research and to develop amazingly useful products that millions of people use every day. Our machine learning system, TensorFlow, is used for everything from speech recognition in the Google app, to Smart Reply in Inbox, to search in Google Photos.
And now you can use it too.
Today, we’re proud to announce the open source release of TensorFlow - our second-generation machine learning system that is a general, flexible, portable, easy-to-use, and completely open source software library for numerical computation using data flow graphs. Head over to the Google Research blog to learn more.
And now you can use it too.
Today, we’re proud to announce the open source release of TensorFlow - our second-generation machine learning system that is a general, flexible, portable, easy-to-use, and completely open source software library for numerical computation using data flow graphs. Head over to the Google Research blog to learn more.
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Custom Quotas to help you manage your spend. Stage-by-stage diagnostics for troubleshooting (and bottleneck-finding). And a better streaming API. All available on BigQuery: http://goo.gl/7g9zmk
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7x faster and even more flexible, the second generation of Cloud SQL is in beta. Scale to 10TB of data, 15,000 IOPS, and 104GB of RAM per instance. Then scale back down just as easily. http://goo.gl/yD8Fv1
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The next generation of applications won’t just store images. They’ll actually understand them thanks to models like the one we’re releasing today. Our Cloud Vision API uses machine learning to classify images into thousands of categories, detect objects (and facial features), and even identify language. We’re excited to see what you build with it: http://goo.gl/RfEFv0
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We’re welcoming +Akamai Technologies to our CDN Interconnect lineup. More POPs across our global network means more responsive Google services for you. http://goo.gl/azPS01
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The workloads you run rarely fit into a pre-defined shape. That’s where Custom Machine Types come in. Now you can create VMs with the shape (vCPU and memory) that’s right for your workloads. http://goo.gl/uQ3ciu
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#Spinnaker—Netflix’s newly announced, continuous delivery (CD) platform—is up and running on GCP. When you manage your CD workflows through pipelines, you can speed up software updates, which means your users get the features they need faster. http://goo.gl/FMBiQk
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#Kubernetes 1.1 is here, and so are a few updates of our own. From new features to +Docker V2 API support, see what we’re rolling out on Container Engine and Container Registry: http://goo.gl/bMUNA9
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HTTP/HTTPS Load Balancing is officially GA. So start deploying your applications to Google’s global network, and connect your workloads to your users faster. https://goo.gl/wfbLmj
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Cloud Shell Beta launches today, bringing you command-line access to compute resources hosted on Google Cloud. Skip the Google Cloud SDK installation, and still easily manage your projects. http://goo.gl/4HuwB3
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