TGT 23

1. Rafał Błaczkowski, Artificial Intelligence Products Group (AIPG)

2. 2
https://pl.wikipedia.org/wiki/Neuron
Komórka
nerwowa
Mózg w liczbach:
• 100 miliardów komórek
nerwowych1
• Biliardy połączeń pomiędzy
komórkami neuronowymi
• Tryliony operacji na sekundę
Control of synapse number by glia
Ullian EM, Sapperstein SK, Christopherson KS, Barres BA
Science. 2001 Jan 26

3. 3
Warstwa
wejściowa
Warstwy
ukryte
Warstwa
wyjściowa
Neva
Masquerade

4. 4
Sieci neuronowe w praktyce
https://www.theverge.com/2019/2/11/18220606/baidu-smart-cat-shelter-ai-facial-recognition-dogs

5. 5https://www.cnbc.com/2019/01/23/boeing-takes-step-in-developing-uber-air--with-successful-test-flight.html

6. 6http://fortune.com/2017/07/18/tesla-driver-autopilot-crash-minnesota/

7. 7
https://thispersondoesnotexist.com

8. 8http://aiweirdness.com/post/182322518157/welcome-to-latent-space
Terier Bedlington + gejzer + szczeniak Dingo Pembroke Terier + espresso

9. 9

10. 10

11. 11

12. 12
Kim jesteśmy?
• Inżynierem
oprogramowania/testów
gotowym na wyzwania 
Co mamy zrobić?
• Stworzyć testy automatyczne do
walidacji Sztucznej Inteligencji

13. 13

14. 14
AI
Nowy
procesor do
treningu sieci
neuronowych
Framework do
treningu sieci
neuronowych
Symulacja
procesora
Zatwierdź
jakość
👀

15. 15

16. 16

17. 17
Przykładowe topologie sieci neuronowych
https://medium.com/@pierre_guillou/understand-how-works-resnet-without-talking-about-residual-64698f157e0c

18. 18

19. 19
Automatyzacja testów
• Język programowania
• Framework testowy
• Continuous Integration
Dziedzina testowania
• Wybór funkcjonalności do testowania
• Uporządkowanie skryptów testowych

20. 20
Basic Math
MatrixMultiplication
Convolution
Smoke
Simple Math
Single Operand Sqrt, Negative, Abs
Double Operand Add, Sub, Mul, Div
Complex Math
Exp, Log, Safelog,
Tanh, Rcp, Sigm
Inequalities
Reduction
Sum, Max, Min,
ArgMax, ArgMin
𝑥 + −
abs x log(x)
https://en.wikipedia.org/wiki/Matrix_multiplicationhttps://github.com/PetarV-/TikZ/tree/master/2D%20Convolution
Przetestuj wszystkie operacje matematyczne

21. 21
Wyznaczanie Przypadków Testowych
• Analiza Wartości Granicznych (Boundary Analysis)
• Skupianie się na funkcjonalnościach
• Skupianie się na przypadkach szczególnych oraz corner case-ach

22. 22

24. 24
Notices and Disclaimers
Software and workloads used in performance tests may have been optimized for performance only on Intel
microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components,
software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other
information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product
when combined with other products. For more complete information visit: http://www.intel.com/performance.
Tests document performance of components on a particular test, in specific systems. Differences in hardware, software, or configuration
will affect actual performance. Consult other sources of information to evaluate performance as you consider your purchase. For more
complete information about performance and benchmark results, visit www.intel.com/benchmarks.
Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service
activation. Performance varies depending on system configuration. No computer system can be absolutely secure. Check with your system
manufacturer or retailer or learn more at intel.com.
The products described may contain design defects or errors known as errata which may cause the product to deviate from published
specifications. Current characterized errata are available on request.
Intel, the Intel logo, Xeon, Xeon Phi and Nervana are trademarks of Intel Corporation in the U.S. and/or other countries.
*Other names and brands may be claimed as the property of others
© 2018 Intel Corporation. All rights reserved.