Deep Learning for Computer Vision

Deep Learning for Computer Vision

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Lecture 10: Training Neural Networks I

10 of 22

10 of 22

Lecture 10: Training Neural Networks I

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Deep Learning for Computer Vision

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  1. 1 Lecture 1: Introduction to Deep Learning for Computer Vision
  2. 2 Lecture 2: Image Classification
  3. 3 Lecture 3: Linear Classifiers
  4. 4 Lecture 4: Optimization
  5. 5 Lecture 5: Neural Networks
  6. 6 Lecture 6: Backpropagation
  7. 7 Lecture 7: Convolutional Networks
  8. 8 Lecture 8: CNN Architectures
  9. 9 Lecture 9: Hardware and Software
  10. 10 Lecture 10: Training Neural Networks I
  11. 11 Lecture 11: Training Neural Networks II
  12. 12 Lecture 12: Recurrent Networks
  13. 13 Lecture 13: Attention
  14. 14 Lecture 14: Visualizing and Understanding
  15. 15 Lecture 15: Object Detection
  16. 16 Lecture 16: Detection and Segmentation
  17. 17 Lecture 17: 3D Vision
  18. 18 Lecture 18: Videos
  19. 19 Lecture 19: Generative Models I
  20. 20 Lecture 20: Generative Models II
  21. 21 Lecture 21: Reinforcement Learning
  22. 22 Lecture 22: Conclusion

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