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[FreeCourseSite.com] Udemy - Deep Learning Advanced Computer Vision

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视频 2018-9-30 21:44 2024-11-25 01:22 107 567.67 MB 59
磁力链接
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迅雷链接
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FreeCourseSite com Udemy - Deep Learning Advanced Computer Vision

文件列表
  1. 1. Welcome/1. Introduction.mp47.77MB
  2. 1. Welcome/2. Outline and Perspective.mp47.45MB
  3. 1. Welcome/3. How to Succeed in this Course.mp43.3MB
  4. 2. Review/1. Review of CNNs.mp418.5MB
  5. 2. Review/2. Where to get the code and data.mp42.18MB
  6. 2. Review/3. Fashion MNIST.mp43.3MB
  7. 2. Review/4. Review of CNNs in Code.mp47.61MB
  8. 3. VGG and Transfer Learning/1. VGG Section Intro.mp42.69MB
  9. 3. VGG and Transfer Learning/2. What's so special about VGG.mp412.19MB
  10. 3. VGG and Transfer Learning/3. Transfer Learning.mp47.21MB
  11. 3. VGG and Transfer Learning/4. Relationship to Greedy Layer-Wise Pretraining.mp43.88MB
  12. 3. VGG and Transfer Learning/5. Getting the data.mp41.77MB
  13. 3. VGG and Transfer Learning/6. Code pt 1.mp411.51MB
  14. 3. VGG and Transfer Learning/7. Code pt 2.mp48.56MB
  15. 3. VGG and Transfer Learning/8. Code pt 3.mp44.21MB
  16. 3. VGG and Transfer Learning/9. VGG Section Summary.mp43.16MB
  17. 4. ResNet (and Inception)/1. ResNet Section Intro.mp42.81MB
  18. 4. ResNet (and Inception)/10. Exercise Apply ResNet.mp42.07MB
  19. 4. ResNet (and Inception)/11. Applying ResNet.mp43.6MB
  20. 4. ResNet (and Inception)/12. 1x1 Convolutions.mp43.11MB
  21. 4. ResNet (and Inception)/13. Optional Inception.mp45.39MB
  22. 4. ResNet (and Inception)/14. Different sized images using the same network.mp47.41MB
  23. 4. ResNet (and Inception)/15. ResNet Section Summary.mp44.19MB
  24. 4. ResNet (and Inception)/2. ResNet Architecture.mp410.39MB
  25. 4. ResNet (and Inception)/3. Building ResNet - Strategy.mp42.67MB
  26. 4. ResNet (and Inception)/4. Building ResNet - Conv Block Details.mp46.18MB
  27. 4. ResNet (and Inception)/5. Building ResNet - Conv Block Code.mp48.97MB
  28. 4. ResNet (and Inception)/6. Building ResNet - Identity Block Details.mp42.37MB
  29. 4. ResNet (and Inception)/7. Building ResNet - First Few Layers.mp44.03MB
  30. 4. ResNet (and Inception)/8. Building ResNet - First Few Layers (Code).mp410.31MB
  31. 4. ResNet (and Inception)/9. Building ResNet - Putting it all together.mp45.91MB
  32. 5. Object Detection (SSD)/1. SSD Section Intro.mp45.7MB
  33. 5. Object Detection (SSD)/10. SSD Section Summary.mp42.82MB
  34. 5. Object Detection (SSD)/2. Object Localization.mp45.69MB
  35. 5. Object Detection (SSD)/3. What is Object Detection.mp44.79MB
  36. 5. Object Detection (SSD)/4. How would you find an object in an image.mp47.85MB
  37. 5. Object Detection (SSD)/5. The Problem of Scale.mp44.17MB
  38. 5. Object Detection (SSD)/6. The Problem of Shape.mp43.59MB
  39. 5. Object Detection (SSD)/7. SSD in Tensorflow.mp417.42MB
  40. 5. Object Detection (SSD)/8. Modifying SSD to work on Video.mp424.79MB
  41. 5. Object Detection (SSD)/9. Optional Intersection over Union & Non-max Suppression.mp44.59MB
  42. 6. Neural Style Transfer/1. Style Transfer Section Intro.mp42.91MB
  43. 6. Neural Style Transfer/2. Style Transfer Theory.mp419.94MB
  44. 6. Neural Style Transfer/3. Optimizing the Loss.mp47.24MB
  45. 6. Neural Style Transfer/4. Code pt 1.mp49.46MB
  46. 6. Neural Style Transfer/5. Code pt 2.mp415.71MB
  47. 6. Neural Style Transfer/6. Code pt 3.mp45.74MB
  48. 6. Neural Style Transfer/7. Style Transfer Section Summary.mp42.5MB
  49. 7. Appendix/1. What is the Appendix.mp45.45MB
  50. 7. Appendix/10. What order should I take your courses in (part 1).mp429.32MB
  51. 7. Appendix/11. What order should I take your courses in (part 2).mp437.63MB
  52. 7. Appendix/2. Windows-Focused Environment Setup 2018.mp427.88MB
  53. 7. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp443.82MB
  54. 7. Appendix/4. How to Succeed in this Course (Long Version).mp412.99MB
  55. 7. Appendix/5. How to Code by Yourself (part 1).mp424.53MB
  56. 7. Appendix/6. How to Code by Yourself (part 2).mp48.64MB
  57. 7. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp438.95MB
  58. 7. Appendix/8. Where to get discount coupons and FREE deep learning material.mp43.37MB
  59. 7. Appendix/9. Python 2 vs Python 3.mp45.47MB
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