Google Cloud Platform1.17 млн
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Опубликовано 11 апреля 2019, 23:29
Machine learning and transfer learning is the key to getting off the ground — from zero to production. With a small team utilizing the Google Cloud APIs and Cloud AutoML components, we’ve been able to go from nothing to functioning systems that enrich our content data and build other services on top. The key is “applied,” such that transfer learning, e.g., building customized models and services on top of Google Cloud services, is opening up a new platform. We’ll discuss our stack and where this can go.
CBS Interactive's AI/ML Group → bit.ly/2UgdH2F
Watch more:
Next '19 ML & AI Sessions here → bit.ly/Next19MLandAI
Next ‘19 All Sessions playlist → bit.ly/Next19AllSessions
Subscribe to the GCP Channel → bit.ly/GCloudPlatform
Speaker(s): Robert Harrigan, Adam Leary, Andrew Schwartz
Session ID: MLAI213
event: Google Cloud Next 2019; re_ty: Publish; product: Cloud - AI and Machine Learning - Vision AI, Cloud - Containers - Google Kubernetes Engine (GKE), Cloud - AI and Machine Learning - Cloud Natural Language; fullname: Robert Harrigan, Adam Leary, Andrew Schwartz;
CBS Interactive's AI/ML Group → bit.ly/2UgdH2F
Watch more:
Next '19 ML & AI Sessions here → bit.ly/Next19MLandAI
Next ‘19 All Sessions playlist → bit.ly/Next19AllSessions
Subscribe to the GCP Channel → bit.ly/GCloudPlatform
Speaker(s): Robert Harrigan, Adam Leary, Andrew Schwartz
Session ID: MLAI213
event: Google Cloud Next 2019; re_ty: Publish; product: Cloud - AI and Machine Learning - Vision AI, Cloud - Containers - Google Kubernetes Engine (GKE), Cloud - AI and Machine Learning - Cloud Natural Language; fullname: Robert Harrigan, Adam Leary, Andrew Schwartz;
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