The Azure Podcast
Faith Xu, a Senior PM in the Microsoft ML Platform team, brings us up to speed on the Open Neural Network eXchange (ONNX) specification and it's associated Runtime which can be used for running interoperable ML models in Azure.
Media file: https://azpodcast.blob.core.windows.net/episodes/Episode293.mp3
Transcript: https://eus2.videoindexer.ai/accounts/e0eee289-7730-4999-978b-eb7f63be8cb5/videos/77672a62af/?location=EUS2
Resources:
ONNX: https://github.com/onnx/onnxONNX Runtime: https://github.com/microsoft/onnxruntime ONNX Tutorials: https://github.com/onnx/tutorialsONNX Runtime Tutorials: https://github.com/microsoft/onnxruntime#examples-and-tutorials ONNX Converters: https://github.com/onnx/onnxmltools/tree/master/onnxmltoolsONNX Ecosystem Docker Image: https://github.com/onnx/onnx-docker/tree/master/onnx-ecosystemONNX Runtime in AzureML: https://aka.ms/onnxnotebooks
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https://azure.microsoft.com/en-us/updates/general-availability-of-user-assigned-managed-identities-for-app-service-and-azure-functions/
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https://azure.microsoft.com/en-us/blog/announcing-the-general-availability-of-azure-ultra-disk-storage/
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https://azure.microsoft.com/en-us/updates/public-preview-of-managed-identity-for-azure-service-fabric-applications/
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https://azure.microsoft.com/en-in/updates/new-tool-for-automating-load-testing-of-power-bi-embedded-capacities-now-available/
Keywords: ML
Filed Under: Podcast
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