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Image Recognition With TensorFlow

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Image Recognition With TensorFlow

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Image recognition is a problem that clearly illustrates the advantages of machine learning over traditional programming approaches. In this deep dive, how to quickly get set up with TensorFlow on Ubuntu using containers will be shown. To be even more efficient, what is becoming known as transfer learning will be demonstrated. An existing image recognition model will be used rather than the time consuming approach of building one from scratch. Subsequently, this classifier model will be trained with an image dataset. And finally, the retrained model will be tested with new external images.

Image recognition is a problem that clearly illustrates the advantages of machine learning over traditional programming approaches. In this deep dive, how to quickly get set up with TensorFlow on Ubuntu using containers will be shown. To be even more efficient, what is becoming known as transfer learning will be demonstrated. An existing image recognition model will be used rather than the time consuming approach of building one from scratch. Subsequently, this classifier model will be trained with an image dataset. And finally, the retrained model will be tested with new external images.

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Image Recognition With TensorFlow

  1. 1. IMAGE RECOGNITION WITH TENSORFLOW Yaz Santissi @YazSantissi
  2. 2. 2 EASY PROBLEM FOR HUMANS DIFFICULT PROBLEM FOR COMPUTERS
  3. 3. 3 A PICTURE IS WORTH A THOUSAND WORDS
  4. 4. 4 DIFFERENCE BETWEEN AN APPLE AND AN ORANGE
  5. 5. 5
  6. 6. 6
  7. 7. 7
  8. 8. 8
  9. 9. 9 BUT THEN ???
  10. 10. 10
  11. 11. 11 HOWEVER WITH TENSORFLOW …
  12. 12. 12
  13. 13. 13 1) SETTING UP TENSORFLOW WITH CONTAINERS
  14. 14. 14 1) SETTING UP TENSORFLOW WITH CONTAINERS
  15. 15. 15 1) SETTING UP TENSORFLOW WITH CONTAINERS
  16. 16. 16 1) SETTING UP TENSORFLOW WITH CONTAINERS
  17. 17. 17 1) SETTING UP TENSORFLOW WITH CONTAINERS
  18. 18. 18 1) SETTING UP TENSORFLOW WITH CONTAINERS
  19. 19. 19 1) SETTING UP TENSORFLOW WITH CONTAINERS
  20. 20. 20 1) SETTING UP TENSORFLOW WITH CONTAINERS
  21. 21. 21 1) SETTING UP TENSORFLOW WITH CONTAINERS
  22. 22. 22 2) GETTING AN EXISTING MODEL & RETRAINING (TRANSFER LEARNING)
  23. 23. 23 2) GETTING AN EXISTING MODEL & RETRAINING (TRANSFER LEARNING)
  24. 24. 24 1) SETTING UP TENSORFLOW WITH CONTAINERS
  25. 25. 25 1) SETTING UP TENSORFLOW WITH CONTAINERS
  26. 26. 26 1) SETTING UP TENSORFLOW WITH CONTAINERS
  27. 27. 27 1) SETTING UP TENSORFLOW WITH CONTAINERS
  28. 28. 28 1) SETTING UP TENSORFLOW WITH CONTAINERS
  29. 29. 29 1) SETTING UP TENSORFLOW WITH CONTAINERS
  30. 30. 30 1) SETTING UP TENSORFLOW WITH CONTAINERS
  31. 31. 31 1) SETTING UP TENSORFLOW WITH CONTAINERS
  32. 32. 32 1) SETTING UP TENSORFLOW WITH CONTAINERS
  33. 33. 33 1) SETTING UP TENSORFLOW WITH CONTAINERS
  34. 34. 34 BOTTLENECKS TRAINING ACCURACY VALIDATION ACCURACY CROSS ENTROPY FINAL TEST ACCURACY
  35. 35. 35 4) TESTING NEW MODEL WITH NEW IMAGES
  36. 36. 36 1) SETTING UP TENSORFLOW WITH CONTAINERS
  37. 37. 37 1) SETTING UP TENSORFLOW WITH CONTAINERS
  38. 38. 38 1) SETTING UP TENSORFLOW WITH CONTAINERS
  39. 39. 39 THANKS Any questions? ▫ @YazSantissi

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