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

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

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收录时间：2021-03-09
最近下载：2025-03-26

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文件列表

  • 9. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
  • 7. Bonus Class Activation Maps/2. Class Activation Maps (Code).mp4 109.9 MB
  • 8. Basics Review/2. (Review) Tensorflow Neural Network in Code.mp4 102.0 MB
  • 8. Basics Review/1. (Review) Tensorflow Basics.mp4 85.5 MB
  • 9. Appendix/7. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 8. Basics Review/4. (Review) Keras Neural Network in Code.mp4 69.4 MB
  • 7. Bonus Class Activation Maps/1. Class Activation Maps (Theory).mp4 56.0 MB
  • 9. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
  • 9. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
  • 8. Basics Review/5. (Review) Keras Functional API.mp4 40.5 MB
  • 3. VGG and Transfer Learning/3. Transfer Learning.mp4 40.0 MB
  • 9. Appendix/12. What order should I take your courses in (part 2).mp4 39.4 MB
  • 9. Appendix/11. What order should I take your courses in (part 1).mp4 30.8 MB
  • 8. Basics Review/3. (Review) Keras Discussion.mp4 29.0 MB
  • 5. Object Detection (SSD)/8. Modifying SSD to work on Video.mp4 26.0 MB
  • 9. Appendix/5. How to Code by Yourself (part 1).mp4 25.7 MB
  • 6. Neural Style Transfer/2. Style Transfer Theory.mp4 20.9 MB
  • 2. Review/1. Review of CNNs.mp4 19.4 MB
  • 5. Object Detection (SSD)/7. SSD in Tensorflow.mp4 18.3 MB
  • 6. Neural Style Transfer/5. Code pt 2.mp4 16.5 MB
  • 9. Appendix/4. How to Succeed in this Course (Long Version).mp4 13.6 MB
  • 3. VGG and Transfer Learning/2. What's so special about VGG.mp4 12.8 MB
  • 3. VGG and Transfer Learning/6. Code pt 1.mp4 12.1 MB
  • 4. ResNet (and Inception)/2. ResNet Architecture.mp4 10.9 MB
  • 4. ResNet (and Inception)/8. Building ResNet - First Few Layers (Code).mp4 10.8 MB
  • 6. Neural Style Transfer/4. Code pt 1.mp4 9.9 MB
  • 4. ResNet (and Inception)/5. Building ResNet - Conv Block Code.mp4 9.4 MB
  • 9. Appendix/6. How to Code by Yourself (part 2).mp4 9.1 MB
  • 3. VGG and Transfer Learning/7. Code pt 2.mp4 9.0 MB
  • 5. Object Detection (SSD)/4. How would you find an object in an image.mp4 8.2 MB
  • 1. Welcome/1. Introduction.mp4 8.1 MB
  • 2. Review/4. Review of CNNs in Code.mp4 8.0 MB
  • 1. Welcome/2. Outline and Perspective.mp4 7.8 MB
  • 4. ResNet (and Inception)/14. Different sized images using the same network.mp4 7.8 MB
  • 6. Neural Style Transfer/3. Optimizing the Loss.mp4 7.6 MB
  • 4. ResNet (and Inception)/4. Building ResNet - Conv Block Details.mp4 6.5 MB
  • 4. ResNet (and Inception)/9. Building ResNet - Putting it all together.mp4 6.2 MB
  • 6. Neural Style Transfer/6. Code pt 3.mp4 6.0 MB
  • 5. Object Detection (SSD)/1. SSD Section Intro.mp4 6.0 MB
  • 5. Object Detection (SSD)/2. Object Localization.mp4 6.0 MB
  • 9. Appendix/10. Python 2 vs Python 3.mp4 5.7 MB
  • 9. Appendix/1. What is the Appendix.mp4 5.7 MB
  • 4. ResNet (and Inception)/13. Optional Inception.mp4 5.7 MB
  • 5. Object Detection (SSD)/3. What is Object Detection.mp4 5.0 MB
  • 5. Object Detection (SSD)/9. Optional Intersection over Union & Non-max Suppression.vtt 4.8 MB
  • 5. Object Detection (SSD)/9. Optional Intersection over Union & Non-max Suppression.mp4 4.8 MB
  • 3. VGG and Transfer Learning/8. Code pt 3.mp4 4.4 MB
  • 4. ResNet (and Inception)/15. ResNet Section Summary.mp4 4.4 MB
  • 5. Object Detection (SSD)/5. The Problem of Scale.mp4 4.4 MB
  • 4. ResNet (and Inception)/7. Building ResNet - First Few Layers.mp4 4.2 MB
  • 3. VGG and Transfer Learning/4. Relationship to Greedy Layer-Wise Pretraining.mp4 4.1 MB
  • 5. Object Detection (SSD)/6. The Problem of Shape.mp4 3.8 MB
  • 4. ResNet (and Inception)/11. Applying ResNet.mp4 3.8 MB
  • 9. Appendix/9. Where to get discount coupons and FREE deep learning material.mp4 3.5 MB
  • 1. Welcome/3. How to Succeed in this Course.mp4 3.5 MB
  • 2. Review/3. Fashion MNIST.mp4 3.5 MB
  • 3. VGG and Transfer Learning/9. VGG Section Summary.mp4 3.3 MB
  • 4. ResNet (and Inception)/12. 1x1 Convolutions.mp4 3.3 MB
  • 6. Neural Style Transfer/1. Style Transfer Section Intro.mp4 3.1 MB
  • 4. ResNet (and Inception)/1. ResNet Section Intro.mp4 3.0 MB
  • 5. Object Detection (SSD)/10. SSD Section Summary.mp4 3.0 MB
  • 3. VGG and Transfer Learning/1. VGG Section Intro.mp4 2.8 MB
  • 4. ResNet (and Inception)/3. Building ResNet - Strategy.mp4 2.8 MB
  • 6. Neural Style Transfer/7. Style Transfer Section Summary.mp4 2.6 MB
  • 4. ResNet (and Inception)/6. Building ResNet - Identity Block Details.mp4 2.5 MB
  • 2. Review/2. Where to get the code and data.mp4 2.3 MB
  • 4. ResNet (and Inception)/10. Exercise Apply ResNet.mp4 2.2 MB
  • 3. VGG and Transfer Learning/5. Getting the data.mp4 1.9 MB
  • 9. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt 28.4 kB
  • 9. Appendix/12. What order should I take your courses in (part 2).vtt 20.7 kB
  • 9. Appendix/5. How to Code by Yourself (part 1).vtt 20.3 kB
  • 9. Appendix/2. Windows-Focused Environment Setup 2018.vtt 17.8 kB
  • 4. ResNet (and Inception)/2. ResNet Architecture.vtt 14.9 kB
  • 9. Appendix/11. What order should I take your courses in (part 1).vtt 14.4 kB
  • 9. Appendix/4. How to Succeed in this Course (Long Version).vtt 13.2 kB
  • 6. Neural Style Transfer/2. Style Transfer Theory.vtt 13.0 kB
  • 9. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt 12.7 kB
  • 9. Appendix/7. Proof that using Jupyter Notebook is the same as not using it.vtt 12.5 kB
  • 2. Review/1. Review of CNNs.vtt 12.5 kB
  • 9. Appendix/6. How to Code by Yourself (part 2).vtt 11.9 kB
  • 3. VGG and Transfer Learning/6. Code pt 1.vtt 11.0 kB
  • 5. Object Detection (SSD)/7. SSD in Tensorflow.vtt 9.9 kB
  • 3. VGG and Transfer Learning/3. Transfer Learning.vtt 9.4 kB
  • 5. Object Detection (SSD)/4. How would you find an object in an image.vtt 9.4 kB
  • 6. Neural Style Transfer/3. Optimizing the Loss.vtt 9.3 kB
  • 7. Bonus Class Activation Maps/2. Class Activation Maps (Code).vtt 8.9 kB
  • 6. Neural Style Transfer/4. Code pt 1.vtt 8.5 kB
  • 8. Basics Review/3. (Review) Keras Discussion.vtt 8.2 kB
  • 6. Neural Style Transfer/5. Code pt 2.vtt 8.2 kB
  • 3. VGG and Transfer Learning/2. What's so special about VGG.vtt 8.1 kB
  • 1. Welcome/2. Outline and Perspective.vtt 8.0 kB
  • 7. Bonus Class Activation Maps/1. Class Activation Maps (Theory).vtt 7.9 kB
  • 4. ResNet (and Inception)/13. Optional Inception.vtt 7.8 kB
  • 5. Object Detection (SSD)/2. Object Localization.vtt 7.4 kB
  • 4. ResNet (and Inception)/5. Building ResNet - Conv Block Code.vtt 7.0 kB
  • 2. Review/4. Review of CNNs in Code.vtt 6.7 kB
  • 8. Basics Review/4. (Review) Keras Neural Network in Code.vtt 6.6 kB
  • 5. Object Detection (SSD)/1. SSD Section Intro.vtt 5.6 kB
  • 9. Appendix/10. Python 2 vs Python 3.vtt 5.4 kB
  • 8. Basics Review/1. (Review) Tensorflow Basics.vtt 5.2 kB
  • 5. Object Detection (SSD)/8. Modifying SSD to work on Video.vtt 5.1 kB
  • 4. ResNet (and Inception)/14. Different sized images using the same network.vtt 5.0 kB
  • 8. Basics Review/2. (Review) Tensorflow Neural Network in Code.vtt 4.9 kB
  • 8. Basics Review/5. (Review) Keras Functional API.vtt 4.8 kB
  • 4. ResNet (and Inception)/9. Building ResNet - Putting it all together.vtt 4.6 kB
  • 4. ResNet (and Inception)/12. 1x1 Convolutions.vtt 4.4 kB
  • 4. ResNet (and Inception)/8. Building ResNet - First Few Layers (Code).vtt 4.3 kB
  • 3. VGG and Transfer Learning/7. Code pt 2.vtt 4.3 kB
  • 5. Object Detection (SSD)/6. The Problem of Shape.vtt 4.1 kB
  • 5. Object Detection (SSD)/5. The Problem of Scale.vtt 4.1 kB
  • 4. ResNet (and Inception)/4. Building ResNet - Conv Block Details.vtt 4.1 kB
  • 2. Review/3. Fashion MNIST.vtt 4.0 kB
  • 6. Neural Style Transfer/6. Code pt 3.vtt 4.0 kB
  • 3. VGG and Transfer Learning/8. Code pt 3.vtt 3.9 kB
  • 1. Welcome/3. How to Succeed in this Course.vtt 3.6 kB
  • 3. VGG and Transfer Learning/1. VGG Section Intro.vtt 3.5 kB
  • 4. ResNet (and Inception)/1. ResNet Section Intro.vtt 3.4 kB
  • 6. Neural Style Transfer/1. Style Transfer Section Intro.vtt 3.4 kB
  • 9. Appendix/1. What is the Appendix.vtt 3.4 kB
  • 5. Object Detection (SSD)/3. What is Object Detection.vtt 3.2 kB
  • 5. Object Detection (SSD)/10. SSD Section Summary.vtt 3.2 kB
  • 9. Appendix/9. Where to get discount coupons and FREE deep learning material.vtt 3.1 kB
  • 1. Welcome/1. Introduction.vtt 2.9 kB
  • 2. Review/2. Where to get the code and data.vtt 2.8 kB
  • 4. ResNet (and Inception)/11. Applying ResNet.vtt 2.8 kB
  • 4. ResNet (and Inception)/7. Building ResNet - First Few Layers.vtt 2.7 kB
  • 4. ResNet (and Inception)/3. Building ResNet - Strategy.vtt 2.7 kB
  • 6. Neural Style Transfer/7. Style Transfer Section Summary.vtt 2.6 kB
  • 4. ResNet (and Inception)/15. ResNet Section Summary.vtt 2.6 kB
  • 3. VGG and Transfer Learning/5. Getting the data.vtt 2.6 kB
  • 3. VGG and Transfer Learning/4. Relationship to Greedy Layer-Wise Pretraining.vtt 2.4 kB
  • 3. VGG and Transfer Learning/9. VGG Section Summary.vtt 1.9 kB
  • 4. ResNet (and Inception)/6. Building ResNet - Identity Block Details.vtt 1.6 kB
  • 4. ResNet (and Inception)/10. Exercise Apply ResNet.vtt 1.4 kB
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