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[Tutorialsplanet.NET] Udemy - Deep Learning Advanced Computer Vision

文件类型 收录时间 最后活跃 资源热度 文件大小 文件数量
视频 2019-12-22 17:26 2024-11-6 15:27 123 1.27 GB 67
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Tutorialsplanet NET Udemy - Deep Learning Advanced Computer Vision

文件列表
  1. 1. Welcome/1. Introduction.mp47.77MB
  2. 1. Welcome/2. Outline and Perspective.mp47.46MB
  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.mp42.19MB
  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.mp438.12MB
  11. 3. VGG and Transfer Learning/4. Relationship to Greedy Layer-Wise Pretraining.mp43.89MB
  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.mp44.22MB
  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.mp43.12MB
  21. 4. ResNet (and Inception)/13. Optional Inception.mp45.4MB
  22. 4. ResNet (and Inception)/14. Different sized images using the same network.mp47.42MB
  23. 4. ResNet (and Inception)/15. ResNet Section Summary.mp44.2MB
  24. 4. ResNet (and Inception)/2. ResNet Architecture.mp410.39MB
  25. 4. ResNet (and Inception)/3. Building ResNet - Strategy.mp42.66MB
  26. 4. ResNet (and Inception)/4. Building ResNet - Conv Block Details.mp46.19MB
  27. 4. ResNet (and Inception)/5. Building ResNet - Conv Block Code.mp48.97MB
  28. 4. ResNet (and Inception)/6. Building ResNet - Identity Block Details.mp42.38MB
  29. 4. ResNet (and Inception)/7. Building ResNet - First Few Layers.mp44.04MB
  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.mp42.83MB
  34. 5. Object Detection (SSD)/2. Object Localization.mp45.7MB
  35. 5. Object Detection (SSD)/3. What is Object Detection.mp44.8MB
  36. 5. Object Detection (SSD)/4. How would you find an object in an image.mp47.86MB
  37. 5. Object Detection (SSD)/5. The Problem of Scale.mp44.16MB
  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.mp42.92MB
  43. 6. Neural Style Transfer/2. Style Transfer Theory.mp419.94MB
  44. 6. Neural Style Transfer/3. Optimizing the Loss.mp47.25MB
  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. Bonus Class Activation Maps/1. Class Activation Maps (Theory).mp453.43MB
  50. 7. Bonus Class Activation Maps/2. Class Activation Maps (Code).mp4104.76MB
  51. 8. Basics Review/1. (Review) Tensorflow Basics.mp481.53MB
  52. 8. Basics Review/2. (Review) Tensorflow Neural Network in Code.mp497.24MB
  53. 8. Basics Review/3. (Review) Keras Discussion.mp427.64MB
  54. 8. Basics Review/4. (Review) Keras Neural Network in Code.mp466.16MB
  55. 8. Basics Review/5. (Review) Keras Functional API.mp438.64MB
  56. 9. Appendix FAQ/1. What is the Appendix.mp45.46MB
  57. 9. Appendix FAQ/10. Python 2 vs Python 3.mp45.47MB
  58. 9. Appendix FAQ/11. What order should I take your courses in (part 1).mp429.32MB
  59. 9. Appendix FAQ/12. What order should I take your courses in (part 2).mp437.63MB
  60. 9. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4186.32MB
  61. 9. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp443.83MB
  62. 9. Appendix FAQ/4. How to Succeed in this Course (Long Version).mp412.99MB
  63. 9. Appendix FAQ/5. How to Code by Yourself (part 1).mp424.54MB
  64. 9. Appendix FAQ/6. How to Code by Yourself (part 2).mp48.65MB
  65. 9. Appendix FAQ/7. Proof that using Jupyter Notebook is the same as not using it.mp478.26MB
  66. 9. Appendix FAQ/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp438.95MB
  67. 9. Appendix FAQ/9. Where to get discount coupons and FREE deep learning material.mp43.37MB
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