Презентация на DeepTex на тема "Въведение в машинното обучение / Intro to Machine Learning". Лектор: Александър Георгиев Програма: >> Supervised learning vs. Unsupervised Learning - Типове Supervised learning: Classification vs. Regression - Classification - Regression >> Unsupervised Learning - Generative adversarial networks >> Reinforcement Learning - Game AI - Self Driving Cars >> Базова математика за класификация - Какво е модел - Какво е loss функция - Оптимизационен метод /gradient descent/ >> Популярни frameworks за ML и DL >> Кратка демонстрация

1. Машинно обучение: интро
Intro to Machine Learning

2. За мен (Александър Георгиев)

3. Supervised vs. Unsupervised

4. Типове Supervised Learning

5. Classification

6. ImageNet

7. State of the art

8. Object detection

9. Mask R-CNN

10. Unsupervised Learning

11. Generative Adversarial Networks

12. Generative Adversarial Networks

13. CycleGAN

14. Faces

15. Another Example

16. Reinforcement Learning

17. Reinforcement Learning

18. Reinforcement Learning

19. AphaGo

20. OpenAI

21. AlphaStar

22. Self Driving Cars

23. Self Driving Cars

24. Self Driving Cars

25. Основни концепции

26. Model
Y = aX + b

27. Optimization method /Gradient descent/

28. Пример

29. Пример

30. Пример

31. Пример

32. Невронна мрежа

33. Libraries and frameworks

34. Demo

35. Въпроси?

36. Контакти
● DeepTex
○ Facebook - https://www.facebook.com/groups/1287595168032055/
● CryptoVarna
○ Web - https://www.cryptovarna.com/
○ Facebook - https://www.facebook.com/groups/CryptoVarna/
● Innovator
○ Web - https://innovator.bg/
○ Facebook - https://www.facebook.com/innovatorhere/
● Mimirium
○ Web - https://mimirium.io/
○ Facebook - https://www.facebook.com/Mimirium/