Presentation about AI for developers. How to build applications and models on top of Azure and C#?

1. daenet Gesellschaft für Informationstechnologie mbH
Hanauer Landstr. 204 60314 Frankfurt am Main
AI for .NET Developers
Damir Dobric
Lead Software Architect daenet GmbH
Microsoft Regional Director and Most Valuable Professional

5. http://how-old.net

6. https://www.captionbot.ai

8. https://developers.de/blogs/damir_dobric/archive/2014/12/23/azure-machine-learning-episode-1.aspx

11. 𝑓 𝑥

12. https://myapi/data/x

19. ONNX

21. 𝑧1 = 𝑊1 ∗ 𝑥 + 𝑏1
𝑧2 = 𝑊2 ∗ 𝑧1 + 𝑏2𝑥
𝑥
𝑧1
𝑧2
𝑓

23. 13.93382 11.912242
4.992084 4.0683451
1.308079 3.6044620
2.237222 2.393831
1.409637 0.7957422
3.542408 4.552556
2.130944 1.789991
6.331843 7.432976
14.82299 10.80024
11.26242 11.53292
4.929292 4.396819
6.752985 7.881171
6.12023 7.814198
6.983967 9.058882
11.79105 14.48951
2.293079 1.886682
12.26457 11.28563
3.254735 4.31023
2.825462 2.03756
9.38726 6.141213
11.38792 11.59595
0.9510276 1.130771
4.372396 3.118505
https://github.com/ddobric/samples/tree/master/ML/Cntk/CntkSamples

24. model (features) =
{
# model parameters W0 = ParameterTensor {(HDim:SDim)} ;
b0 = ParameterTensor {HDim}
W1 = ParameterTensor {(LDim:HDim)} ;
b1 = ParameterTensor {LDim}
# model formula
r = RectifiedLinear (W0 * features + b0)
# hidden layer
z = W1 * r + b1
# unnormalized softmax
}.z
https://docs.microsoft.com/en-us/cognitive-toolkit/brainscript-basic-concepts

26. https://cntk.ai/pythondocs/
https://www.microsoft.com/en-us/cognitive-toolkit/
https://www.youtube.com/watch?v=mbyG85GZ0PI
https://github.com/UniversityOfAppliedSciencesFrankfurt/LearningApi
http://developers.de

27. https://twitter.com/ddobric
https://developers.de
https://about.me/damirdobric
http://daenet.de

28. © Copyright daenet GmbH. All rights reserved.
https://www.meetup.com/Azure-Meetup-Frankfurt/