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Standards in Machine Learning Models
- 1. Introduction to reusing modelsacross languages Thierry Janssens 23/10/2018 1
- 2. Introduction to reusing modelsacross languages Thierry Janssens Blog: https://www.dataT.be VISIONWORKS part of
- 3. Machine Learning Models Different algorithms &programming languages
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- 5. Training a supervisedmodel software hardware train run
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- 10. What about .net? ×CNTK, now Microsoft Cognitive toolkit × January 2017 × Linux and Windows 64bit × Python & C# × ONNX support (early 2018) × Focus on NN × Accord.net × API × Dec 2014 × C# × C. R. Souza, http://accord-framework.net . What did Microsoft do?
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- 12. PMML × First appearancein 1997 ! × Last update in 2014 – version 4.3 × XML-based × Widely accepted × Over 30 organisations support it × http://dmg.org/pmml/products.html × Producers <-> consumers ! × Similar standard = PFA Predictive Model Markup Language
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- 14. NNEF × December 2017,version 1.0 × The Krhonos Group × Open Specification × Descriptive model and data × Text based and detailed × no native support yet × exporter in C++ on Github Neural Network Exchange Format 10/04/2018
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- 16. ONNX × December, 2017version 1.0 × Amazon, Facebook & Microsoft × Many supporters are joining × Descriptive, open format. × ‘binary’ -> protobuf × Python, C# and R Open Neural Network eXchange
- 17. NNVM • Amazon andUniversity of Washingthon, first appearance oct 2017 • Non descriptive • A compiler that translates models to a ‘uniform’ underlying intermediate representation (IR code). • For specific hardware (ARM, Nvidia)
- 18. A note onBrainscript • Microsoft • Is a declarative language to write models • Part of CNTK • Descriptive, but in a ‘binary’ format • Future not clear…
- 19. Conclusion PMML forall models × broad support in different languages and tools × New version on its way ONNX & NNEF × only for Neural Networks × need the underlying language to be NNEF or ONNX aware NNEF × More options in its current form × Backed by a lot of companies, but… × But no native support yet ONNX × Focusses on ease of use × Working version in Python & R × Active community
- 20. × Past year+/- 17.000 – 15/09/2018 Sep 2018
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