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[] Udemy - Deep Learning Convolutional Neural Networks in Python

  • 收录时间:2018-12-09 16:46:54
  • 文件大小:1GB
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文件列表

  1. 8. Appendix/2. Windows-Focused Environment Setup 2018.mp4 186MB
  2. 2. Convolution/1. Real-Life Examples of Convolution.mp4 82MB
  3. 5. Convolutional Neural Network in TensorFlow/2. TensorFlow - Full CNN and Test on SVHN.mp4 79MB
  4. 7. Project Facial Expression Recognition/5. Convolutional Net in Theano.mp4 52MB
  5. 7. Project Facial Expression Recognition/6. Convolutional Net in TensorFlow.mp4 48MB
  6. 8. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 44MB
  7. 4. Convolutional Neural Network in Theano/2. Theano - Full CNN and Test on SVHN.mp4 39MB
  8. 8. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 39MB
  9. 8. Appendix/12. What order should I take your courses in (part 2).mp4 38MB
  10. 2. Convolution/2. Beginner's Guide to Convolution.mp4 34MB
  11. 8. Appendix/11. What order should I take your courses in (part 1).mp4 29MB
  12. 8. Appendix/4. How to Code by Yourself (part 1).mp4 25MB
  13. 3. Convolutional Neural Network Description/7. LeNet - How the Shapes Go Together.mp4 22MB
  14. 7. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.mp4 21MB
  15. 6. Practical Tips/2. Advanced CNNs and how to Design your Own.mp4 20MB
  16. 1. Outline and Review/5. Tensorflow or Theano - Your Choice!.mp4 19MB
  17. 2. Convolution/7. Write Convolution Yourself.mp4 18MB
  18. 8. Appendix/7. How to Succeed in this Course (Long Version).mp4 18MB
  19. 8. Appendix/10. Is Theano Dead.mp4 18MB
  20. 8. Appendix/5. How to Code by Yourself (part 2).mp4 15MB
  21. 7. Project Facial Expression Recognition/4. Utilities walkthrough.mp4 13MB
  22. 3. Convolutional Neural Network Description/4. Tracking Shapes in a CNN.mp4 13MB
  23. 2. Convolution/5. Convolution example with images Gaussian Blur.mp4 12MB
  24. 2. Convolution/4. Convolution example with audio Echo.mp4 12MB
  25. 2. Convolution/8. Alternative Views on Convolution.mp4 10MB
  26. 7. Project Facial Expression Recognition/3. The class imbalance problem.mp4 10MB
  27. 1. Outline and Review/6. How to load the SVHN data and benchmark a vanilla deep network.mp4 10MB
  28. 7. Project Facial Expression Recognition/1. Facial Expression Recognition Project Introduction.mp4 10MB
  29. 4. Convolutional Neural Network in Theano/3. Visualizing the Learned Filters.mp4 9MB
  30. 2. Convolution/3. What is convolution.mp4 9MB
  31. 3. Convolutional Neural Network Description/3. Convolution on 3-D Images.mp4 9MB
  32. 3. Convolutional Neural Network Description/2. Architecture of a CNN.mp4 8MB
  33. 2. Convolution/6. Convolution example with images Edge Detection.mp4 8MB
  34. 8. Appendix/9. Python 2 vs Python 3.mp4 8MB
  35. 4. Convolutional Neural Network in Theano/1. Theano - Building the CNN components.mp4 7MB
  36. 1. Outline and Review/4. How to Succeed in this Course.mp4 6MB
  37. 5. Convolutional Neural Network in TensorFlow/1. TensorFlow - Building the CNN components.mp4 6MB
  38. 1. Outline and Review/2. Review of Important Concepts.mp4 6MB
  39. 1. Outline and Review/3. Where to get the code and data for this course.mp4 6MB
  40. 8. Appendix/1. What is the Appendix.mp4 5MB
  41. 8. Appendix/6. How to Uncompress a .tar.gz file.mp4 5MB
  42. 6. Practical Tips/1. Practical Image Processing Tips.mp4 5MB
  43. 3. Convolutional Neural Network Description/6. Convolution and Pooling Gradients.mp4 4MB
  44. 3. Convolutional Neural Network Description/5. Relationship to Biology.mp4 4MB
  45. 3. Convolutional Neural Network Description/1. Translational Invariance.mp4 4MB
  46. 1. Outline and Review/1. Introduction and Outline.mp4 3MB
  47. 7. Project Facial Expression Recognition/7. Facial Expression Recognition Project Summary.mp4 3MB
  48. 8. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt 34KB
  49. 8. Appendix/4. How to Code by Yourself (part 1).srt 28KB
  50. 8. Appendix/12. What order should I take your courses in (part 2).srt 25KB
  51. 8. Appendix/2. Windows-Focused Environment Setup 2018.srt 22KB
  52. 3. Convolutional Neural Network Description/4. Tracking Shapes in a CNN.srt 21KB
  53. 7. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.srt 20KB
  54. 3. Convolutional Neural Network Description/7. LeNet - How the Shapes Go Together.srt 20KB
  55. 7. Project Facial Expression Recognition/5. Convolutional Net in Theano.srt 20KB
  56. 7. Project Facial Expression Recognition/6. Convolutional Net in TensorFlow.srt 18KB
  57. 8. Appendix/11. What order should I take your courses in (part 1).srt 17KB
  58. 8. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt 17KB
  59. 8. Appendix/5. How to Code by Yourself (part 2).srt 16KB
  60. 6. Practical Tips/2. Advanced CNNs and how to Design your Own.srt 16KB
  61. 8. Appendix/7. How to Succeed in this Course (Long Version).srt 15KB
  62. 3. Convolutional Neural Network Description/3. Convolution on 3-D Images.srt 15KB
  63. 8. Appendix/10. Is Theano Dead.srt 14KB
  64. 2. Convolution/7. Write Convolution Yourself.srt 12KB
  65. 2. Convolution/3. What is convolution.srt 9KB
  66. 2. Convolution/1. Real-Life Examples of Convolution.srt 9KB
  67. 7. Project Facial Expression Recognition/3. The class imbalance problem.srt 9KB
  68. 2. Convolution/8. Alternative Views on Convolution.srt 9KB
  69. 3. Convolutional Neural Network Description/2. Architecture of a CNN.srt 8KB
  70. 2. Convolution/2. Beginner's Guide to Convolution.srt 8KB
  71. 4. Convolutional Neural Network in Theano/1. Theano - Building the CNN components.srt 7KB
  72. 4. Convolutional Neural Network in Theano/2. Theano - Full CNN and Test on SVHN.srt 7KB
  73. 7. Project Facial Expression Recognition/1. Facial Expression Recognition Project Introduction.srt 7KB
  74. 2. Convolution/4. Convolution example with audio Echo.srt 7KB
  75. 7. Project Facial Expression Recognition/4. Utilities walkthrough.srt 7KB
  76. 8. Appendix/9. Python 2 vs Python 3.srt 7KB
  77. 1. Outline and Review/2. Review of Important Concepts.srt 6KB
  78. 5. Convolutional Neural Network in TensorFlow/1. TensorFlow - Building the CNN components.srt 6KB
  79. 1. Outline and Review/5. Tensorflow or Theano - Your Choice!.srt 6KB
  80. 5. Convolutional Neural Network in TensorFlow/2. TensorFlow - Full CNN and Test on SVHN.srt 6KB
  81. 4. Convolutional Neural Network in Theano/3. Visualizing the Learned Filters.srt 6KB
  82. 6. Practical Tips/1. Practical Image Processing Tips.srt 5KB
  83. 1. Outline and Review/3. Where to get the code and data for this course.srt 5KB
  84. 3. Convolutional Neural Network Description/6. Convolution and Pooling Gradients.srt 5KB
  85. 1. Outline and Review/6. How to load the SVHN data and benchmark a vanilla deep network.srt 4KB
  86. 8. Appendix/6. How to Uncompress a .tar.gz file.srt 4KB
  87. 1. Outline and Review/4. How to Succeed in this Course.srt 4KB
  88. 2. Convolution/5. Convolution example with images Gaussian Blur.srt 4KB
  89. 3. Convolutional Neural Network Description/1. Translational Invariance.srt 4KB
  90. 8. Appendix/1. What is the Appendix.srt 4KB
  91. 3. Convolutional Neural Network Description/5. Relationship to Biology.srt 4KB
  92. 1. Outline and Review/1. Introduction and Outline.srt 4KB
  93. 2. Convolution/6. Convolution example with images Edge Detection.srt 3KB
  94. 7. Project Facial Expression Recognition/7. Facial Expression Recognition Project Summary.srt 2KB
  95. [FCS Forum].url 133B
  96. [FreeCourseSite.com].url 127B
  97. [CourseClub.NET].url 123B