Machine Learning Standards
Your SlideShare is downloading.
×
Check these out next
Recommended
More Related Content
Similar to Standards in Machine Learning Models (20)
Recently uploaded (20)
Standards in Machine Learning Models
- 1. Introduction to reusing models across languages Thierry Janssens 23/10/2018 1
- 2. Introduction to reusing models across languages Thierry Janssens Blog: https://www.dataT.be VISIONWORKS part of
- 3. Machine Learning Models Different algorithms & programming languages
- 4. Models
- 5. Training a supervised model software hardware train run
- 6. Languages https://fossbytes.com/popular-top- programming-languages-machine-learning- data-science/ (2016)
- 7. Frameworks (libraries)
- 8. Choices …
- 9. Case from Facebook
- 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?
- 11. Enter the standards PMML NNVM ONNX NNEF
- 12. PMML × First appearance in 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
- 13. Sample PMML file
- 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
- 15. Sample NNEF file
- 16. ONNX × December, 2017 version 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 and University 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 on Brainscript • Microsoft • Is a declarative language to write models • Part of CNTK • Descriptive, but in a ‘binary’ format • Future not clear…
- 19. Conclusion PMML for all 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
- 21. Questions? Thierry Janssens@ordina.be Blog: https://www.dataT.be VISIONWORKS part of
