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Generative Adversarial Networks - (Introduction)

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Generative adversarial network presentation which presented by Mohammad khalooei on Friday, 22 December 2017 at Tehran.
http://ceit.aut.ac.ir/~khalooei/

Publicado en: Educación

Generative Adversarial Networks - (Introduction)

  1. 1. Generative Adversarial Network ‫خالوئی‬ ‫محمد‬ ‫امیرکبیر‬ ‫صنعتی‬ ‫دانشگاه‬ ‫رباتیک‬ ‫و‬ ‫مصنوعی‬ ‫هوش‬ ‫دکتری‬ ‫دانشجوی‬ ‫آزمایشگاه‬ ‫عضو‬‫چندرسانه‬ ‫هوشمند‬ ‫های‬ ‫سیستم‬‫امیرکبیر‬ ‫صنعتی‬ ‫دانشگاه‬ ‫ای‬ ‫شریف‬ ‫صنعتی‬ ‫دانشگاه‬ ‫داده‬ ‫کالن‬ ‫کارگروه‬ ‫ژرف‬ ‫یادگیری‬ ‫واحد‬ ‫مسئول‬ ‫ارتباطی‬ ‫داالن‬:http://ceit.aut.ac.ir/~khalooeikhalooei@aut.ac.ir Mohammad khalooeiGenerative Adversarial Network1 ‫دیماه‬1396
  2. 2. ‫مطالب‬ ‫فهرست‬ •‫اول‬ ‫بخش‬ •‫مقدمه‬ •‫پارامتری‬ ‫غیر‬ ‫و‬ ‫پارامتری‬ ‫های‬‫مدل‬ •‫ماکزیمم‬ ‫گر‬‫تخمین‬ ‫بررسی‬likelihood •‫داده؟‬ ‫تولید‬! •AE •VAE‫کلیات‬ •‫دوم‬ ‫بخش‬ •‫مقایسه‬ ‫صورت‬ ‫به‬ ‫برمفاهیم‬ ‫مروری‬ •‫های‬ ‫پژوهش‬ ‫آمار‬ ‫از‬ ‫دورنمایی‬GAN •‫مختلف‬ ‫های‬ ‫اپلیکیشن‬GAN Mohammad khalooeiGenerative Adversarial Network2
  3. 3. ‫مقدمه‬... Mohammad khalooeiGenerative Adversarial Network https://goo.gl/36eD3H 3
  4. 4. ‫مقدمه‬... •‫بانظارت‬ ‫یادگیری‬(Supervised learning) Mohammad khalooeiGenerative Adversarial Network ‫گربه‬ f : y = f(x) x : ‫داده‬ y : ‫برچسب‬ 4 Namjukim - 2017
  5. 5. ‫مقدمه‬... •‫بانظارت‬ ‫یادگیری‬(Supervised learning) Mohammad khalooeiGenerative Adversarial Network f : y = f(x) x : ‫داده‬ y : ‫برچسب‬ ‫گربه‬:0.9 ‫سگ‬:0.4 ‫موش‬:0.6 5 Namjukim - 2017
  6. 6. ‫مقدمه‬... •‫بانظارت‬ ‫یادگیری‬(Supervised learning) Mohammad khalooeiGenerative Adversarial Network f : y = f(x) x : ‫داده‬ y : ‫برچسب‬ ‫گربه‬:0.9 ‫سگ‬:0.4 ‫موش‬:0.6 6 Namjukim - 2017
  7. 7. ‫مقدمه‬... •‫بانظارت‬ ‫یادگیری‬(Supervised learning) Mohammad khalooeiGenerative Adversarial Network f : y = f(x) x : ‫داده‬ y : ‫برچسب‬ ‫گربه‬:0.9 ‫سگ‬:0.4 ‫موش‬:0.6 7 Namjukim - 2017
  8. 8. ‫مقدمه‬... •‫نظارت‬ ‫بدون‬ ‫یادگیری‬(UnSupervised learning) Mohammad khalooeiGenerative Adversarial Network f : z = f(x) x : ‫داده‬ z : latent 8 Namjukim - 2017
  9. 9. ‫مقدمه‬... •‫یادگیری‬‫بدون‬‫نظارت‬(UnSupervised learning) Mohammad khalooeiGenerative Adversarial Network f : z = f(x) x : ‫داده‬ z : latent ‫شباهت‬ ‫معیار‬... 9
  10. 10. ‫بر‬ ‫مبتنی‬ ‫های‬‫پژوهش‬ ‫روندگسترش‬GAN Mohammad khalooeiGenerative Adversarial Network https://deephunt.in/the-gan-zoo-79597dc8c347 10
  11. 11. ‫مولد‬ ‫های‬‫مدل‬ Mohammad khalooeiGenerative Adversarial Network G : x = g(z) x : ‫داده‬ z : latent 11 Namjukim - 2017
  12. 12. ‫مولد‬ ‫های‬‫مدل‬ Mohammad khalooeiGenerative Adversarial Network G : x = g(z) x : ‫داده‬ z : latent ‫های‬‫مدل‬‫مولد‬ ‫نظارت‬ ‫بدون‬ x = g(z) z = f(x) P(x|z) P(z|x) Decoder ( Generator ) Encoder 12 Namjukim - 2017
  13. 13. ‫مولد‬ ‫های‬‫مدل‬ •‫توزیع‬ ‫تخمین‬ ‫بر‬ ‫مبتنی‬ •‫نمونه‬ ‫تولید‬ ‫بر‬ ‫مبتنی‬ Mohammad khalooeiGenerative Adversarial Network ‫تولیدی‬ ‫های‬‫نمونه‬‫آموزشی‬ ‫های‬‫نمونه‬Goodfellow 2016 https://arxiv.org/pdf/1701.00160.pdf 13
  14. 14. ‫داده؟‬ ‫و‬ ‫یادگیری‬ ‫فضای‬! Mohammad khalooeiGenerative Adversarial Network ‫ای‬‫داده‬ ‫فضای‬ Data space ‫نهان‬ ‫فضای‬ Latent space https://goo.gl/XZVmCt 14
  15. 15. ‫خودرمزکننده‬(AutoEncoder) Mohammad khalooeiGenerative Adversarial Network Fei-Fei Li Stanford 2017 15
  16. 16. ‫خودرمزکننده‬(AutoEncoder) Mohammad khalooeiGenerative Adversarial Network16 Namjukim - 2017
  17. 17. ‫خودرمزکننده‬(AutoEncoder) Mohammad khalooeiGenerative Adversarial Network17 Namjukim - 2017
  18. 18. ‫خودرمزکننده‬(AutoEncoder) Mohammad khalooeiGenerative Adversarial Network Fei-Fei Li Stanford 2017 18
  19. 19. VAE (Variational Autoencoders) Mohammad khalooeiGenerative Adversarial Network19 Namjukim - 2017
  20. 20. VAE (Variational Autoencoders) Mohammad khalooeiGenerative Adversarial Network20 Namjukim - 2017
  21. 21. VAE (Variational Autoencoders) Mohammad khalooeiGenerative Adversarial Network https://goo.gl/Jd3sQb 21
  22. 22. VAE (Variational Autoencoders) Mohammad khalooeiGenerative Adversarial Network https://goo.gl/Jd3sQb 22
  23. 23. VAE (Variational Autoencoders) Mohammad khalooeiGenerative Adversarial Network Fei-Fei Li Stanford 2017 23
  24. 24. Generative Adversarial Network Mohammad khalooeiGenerative Adversarial Network Fei-Fei Li Stanford 2017 • Ian Goodfellow et al, “Generative Adversarial Networks”, 2014. 24
  25. 25. Generative Adversarial Network Mohammad khalooeiGenerative Adversarial Network25 Namjukim - 2017
  26. 26. Generative Adversarial Network Mohammad khalooeiGenerative Adversarial Network26 Namjukim - 2017
  27. 27. Generative Adversarial Network Mohammad khalooeiGenerative Adversarial Network https://goo.gl/8AH4bj 27
  28. 28. Generative Adversarial Network Mohammad khalooeiGenerative Adversarial Network https://blog.openai.com/generative-models/ VAE learning to generate images (log time) GAN learning to generate images (linear time) 28
  29. 29. Generative Adversarial Network Mohammad khalooeiGenerative Adversarial Network29 Goodfellow et al. 2014 https://arxiv.org/pdf/1406.2661
  30. 30. Generative Adversarial Network Mohammad khalooeiGenerative Adversarial Network Goodfellow et al. 2014 https://arxiv.org/pdf/1406.2661 30
  31. 31. Generative Adversarial Network Mohammad khalooeiGenerative Adversarial Network31
  32. 32. Generative Adversarial Network Mohammad khalooeiGenerative Adversarial Network Fei-Fei Li Stanford 2017 32
  33. 33. Generative Adversarial Network Mohammad khalooeiGenerative Adversarial Network Fei-Fei Li Stanford 2017 33
  34. 34. Generative Adversarial Network Mohammad khalooeiGenerative Adversarial Network34 Namjukim - 2017
  35. 35. Generative Adversarial Network Mohammad khalooeiGenerative Adversarial Network35 Namjukim - 2017
  36. 36. Generative Adversarial Network Mohammad khalooeiGenerative Adversarial Network36
  37. 37. Thank you! Mohammad KHalooei PhD student at Amirkabir University of Technology- Tehran Polytechnic Laboratory of Intelligence and multimedia processing (limp.aut.ac.ir) Big data work group at Sharif University of Technology (bigdataworkgroup.ir) http://ceit.aut.ac.ir/~khalooei khalooei@aut.ac.ir Mohammad khalooeiGenerative Adversarial Network37 Dec 2017

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