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Classification Based on Missing Features in Deep Convolutional Neural Networks

Classification Based on Missing Features in Deep Convolutional Neural Networks

EuroPython Conference via YouTube Direct link

Introduction

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Introduction

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Classroom Contents

Classification Based on Missing Features in Deep Convolutional Neural Networks

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  1. 1 Introduction
  2. 2 Presentation Overview
  3. 3 Missing Features Classification
  4. 4 Step 1 Transfer Learning
  5. 5 Step 2 Activation Functions
  6. 6 Real Activation Functions
  7. 7 Python Code
  8. 8 Code
  9. 9 Testing
  10. 10 Remarks
  11. 11 Results
  12. 12 Future work
  13. 13 Different architectures
  14. 14 Conclusion

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