[FreeAllCourse.Com] Udemy - Deep Learning Advanced Computer Vision (GANs, SSD, +More!)

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[FreeAllCourse.Com] Udemy - Deep Learning Advanced Computer Vision (GANs, SSD, +More!)

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种子哈希：cacfde823b25ec8f520c34ab7b1e1a341a696bb2
文件大小： 2.37G
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收录时间：2021-06-02
最近下载：2024-10-18

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文件列表

  • 11. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
  • 7. Class Activation Maps/2. Class Activation Maps (Code).mp4 109.9 MB
  • 10. Basics Review/2. (Review) Tensorflow Neural Network in Code.mp4 102.0 MB
  • 8. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 95.5 MB
  • 5. Object Detection (SSD RetinaNet)/9. Using Pretrained RetinaNet.mp4 92.5 MB
  • 8. GANs (Generative Adversarial Networks)/3. GAN Code.mp4 86.3 MB
  • 10. Basics Review/1. (Review) Tensorflow Basics.mp4 85.5 MB
  • 11. Appendix FAQ/7. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 9. Object Localization Project/16. Localization Code (pt 7).mp4 80.9 MB
  • 10. Basics Review/4. (Review) Keras Neural Network in Code.mp4 69.4 MB
  • 9. Object Localization Project/1. Localization Introduction and Outline.mp4 66.0 MB
  • 5. Object Detection (SSD RetinaNet)/12. RetinaNet with Custom Dataset (pt 3).mp4 64.8 MB
  • 5. Object Detection (SSD RetinaNet)/11. RetinaNet with Custom Dataset (pt 2).mp4 63.5 MB
  • 9. Object Localization Project/12. Localization Code (pt 5).mp4 62.8 MB
  • 9. Object Localization Project/6. Localization Code (pt 2).mp4 61.5 MB
  • 2. Review/4. Review of CNNs in Code.mp4 59.6 MB
  • 9. Object Localization Project/14. Localization Code (pt 6).mp4 59.4 MB
  • 9. Object Localization Project/4. Localization Code (pt 1).mp4 56.4 MB
  • 7. Class Activation Maps/1. Class Activation Maps (Theory).mp4 56.0 MB
  • 11. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
  • 9. Object Localization Project/11. Localization Code Outline (pt 5).mp4 45.2 MB
  • 9. Object Localization Project/2. Localization Code Outline (pt 1).mp4 43.3 MB
  • 11. Appendix FAQ/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
  • 10. Basics Review/5. (Review) Keras Functional API.mp4 40.5 MB
  • 3. VGG and Transfer Learning/3. Transfer Learning.mp4 40.0 MB
  • 11. Appendix FAQ/12. BONUS Where to get discount coupons and FREE deep learning material.mp4 39.6 MB
  • 11. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 39.4 MB
  • 5. Object Detection (SSD RetinaNet)/7. 2020 Update - More Fun and Excitement.mp4 36.3 MB
  • 9. Object Localization Project/13. Localization Code Outline (pt 6).mp4 35.2 MB
  • 9. Object Localization Project/8. Localization Code (pt 3).mp4 31.5 MB
  • 11. Appendix FAQ/10. What order should I take your courses in (part 1).mp4 30.8 MB
  • 10. Basics Review/3. (Review) Keras Discussion.mp4 29.0 MB
  • 5. Object Detection (SSD RetinaNet)/10. RetinaNet with Custom Dataset (pt 1).mp4 27.9 MB
  • 4. ResNet (and Inception)/4. Uh-oh! What Happens if the Implementation Changes.mp4 26.6 MB
  • 11. Appendix FAQ/5. How to Code by Yourself (part 1).mp4 25.7 MB
  • 9. Object Localization Project/15. Localization Code Outline (pt 7).mp4 21.6 MB
  • 6. Neural Style Transfer/2. Style Transfer Theory.mp4 20.9 MB
  • 9. Object Localization Project/5. Localization Code Outline (pt 2).mp4 19.6 MB
  • 2. Review/1. Review of CNNs.mp4 19.4 MB
  • 6. Neural Style Transfer/5. Code pt 2.mp4 16.5 MB
  • 9. Object Localization Project/9. Localization Code Outline (pt 4).mp4 14.3 MB
  • 9. Object Localization Project/10. Localization Code (pt 4).mp4 14.0 MB
  • 11. Appendix FAQ/4. How to Succeed in this Course (Long Version).mp4 13.6 MB
  • 9. Object Localization Project/7. Localization Code Outline (pt 3).mp4 12.9 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)/9. Building ResNet - First Few Layers (Code).mp4 10.8 MB
  • 10. Basics Review/6. (Review) How to easily convert Keras into Tensorflow 2.0 code.mp4 10.3 MB
  • 6. Neural Style Transfer/4. Code pt 1.mp4 9.9 MB
  • 4. ResNet (and Inception)/6. Building ResNet - Conv Block Code.mp4 9.4 MB
  • 11. Appendix FAQ/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 RetinaNet)/4. How would you find an object in an image.mp4 8.2 MB
  • 1. Welcome/1. Introduction.mp4 8.1 MB
  • 1. Welcome/2. Outline and Perspective.mp4 7.8 MB
  • 4. ResNet (and Inception)/15. 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)/5. Building ResNet - Conv Block Details.mp4 6.5 MB
  • 4. ResNet (and Inception)/10. 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 RetinaNet)/1. SSD Section Intro.mp4 6.0 MB
  • 5. Object Detection (SSD RetinaNet)/2. Object Localization.mp4 6.0 MB
  • 11. Appendix FAQ/9. Python 2 vs Python 3.mp4 5.7 MB
  • 11. Appendix FAQ/1. What is the Appendix.mp4 5.7 MB
  • 4. ResNet (and Inception)/14. Optional Inception.mp4 5.7 MB
  • 5. Object Detection (SSD RetinaNet)/3. What is Object Detection.mp4 5.0 MB
  • 5. Object Detection (SSD RetinaNet)/13. 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)/16. ResNet Section Summary.mp4 4.4 MB
  • 5. Object Detection (SSD RetinaNet)/5. The Problem of Scale.mp4 4.4 MB
  • 4. ResNet (and Inception)/8. 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 RetinaNet)/6. The Problem of Shape.mp4 3.8 MB
  • 4. ResNet (and Inception)/12. Applying ResNet.mp4 3.8 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)/13. 1x1 Convolutions.mp4 3.3 MB
  • 6. Neural Style Transfer/1. Style Transfer Section Intro.mp4 3.1 MB
  • 5. Object Detection (SSD RetinaNet)/14. SSD Section Summary.mp4 3.0 MB
  • 4. ResNet (and Inception)/1. ResNet Section Intro.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)/7. 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)/11. Exercise Apply ResNet.mp4 2.2 MB
  • 3. VGG and Transfer Learning/5. Getting the data.mp4 1.9 MB
  • 11. Appendix FAQ/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt 32.5 kB
  • 11. Appendix FAQ/11. What order should I take your courses in (part 2).srt 23.6 kB
  • 11. Appendix FAQ/5. How to Code by Yourself (part 1).srt 23.3 kB
  • 8. GANs (Generative Adversarial Networks)/1. GAN Theory.srt 21.2 kB
  • 11. Appendix FAQ/2. Windows-Focused Environment Setup 2018.srt 20.6 kB
  • 9. Object Localization Project/1. Localization Introduction and Outline.srt 18.5 kB
  • 4. ResNet (and Inception)/2. ResNet Architecture.srt 16.9 kB
  • 11. Appendix FAQ/10. What order should I take your courses in (part 1).srt 16.4 kB
  • 9. Object Localization Project/16. Localization Code (pt 7).srt 15.9 kB
  • 8. GANs (Generative Adversarial Networks)/3. GAN Code.srt 15.2 kB
  • 11. Appendix FAQ/4. How to Succeed in this Course (Long Version).srt 15.0 kB
  • 5. Object Detection (SSD RetinaNet)/9. Using Pretrained RetinaNet.srt 14.9 kB
  • 11. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt 14.8 kB
  • 6. Neural Style Transfer/2. Style Transfer Theory.srt 14.8 kB
  • 11. Appendix FAQ/7. Proof that using Jupyter Notebook is the same as not using it.srt 14.5 kB
  • 9. Object Localization Project/2. Localization Code Outline (pt 1).srt 14.4 kB
  • 2. Review/1. Review of CNNs.srt 14.2 kB
  • 9. Object Localization Project/6. Localization Code (pt 2).srt 14.0 kB
  • 11. Appendix FAQ/6. How to Code by Yourself (part 2).srt 13.5 kB
  • 3. VGG and Transfer Learning/6. Code pt 1.srt 12.5 kB
  • 5. Object Detection (SSD RetinaNet)/11. RetinaNet with Custom Dataset (pt 2).srt 12.3 kB
  • 9. Object Localization Project/4. Localization Code (pt 1).srt 12.1 kB
  • 9. Object Localization Project/11. Localization Code Outline (pt 5).srt 11.0 kB
  • 5. Object Detection (SSD RetinaNet)/4. How would you find an object in an image.srt 10.7 kB
  • 9. Object Localization Project/12. Localization Code (pt 5).srt 10.6 kB
  • 3. VGG and Transfer Learning/3. Transfer Learning.srt 10.6 kB
  • 6. Neural Style Transfer/3. Optimizing the Loss.srt 10.5 kB
  • 7. Class Activation Maps/2. Class Activation Maps (Code).srt 10.3 kB
  • 9. Object Localization Project/14. Localization Code (pt 6).srt 10.1 kB
  • 6. Neural Style Transfer/4. Code pt 1.srt 9.8 kB
  • 9. Object Localization Project/13. Localization Code Outline (pt 6).srt 9.6 kB
  • 6. Neural Style Transfer/5. Code pt 2.srt 9.3 kB
  • 10. Basics Review/3. (Review) Keras Discussion.srt 9.3 kB
  • 3. VGG and Transfer Learning/2. What's so special about VGG.srt 9.3 kB
  • 1. Welcome/2. Outline and Perspective.srt 9.1 kB
  • 7. Class Activation Maps/1. Class Activation Maps (Theory).srt 9.0 kB
  • 4. ResNet (and Inception)/14. Optional Inception.srt 8.8 kB
  • 5. Object Detection (SSD RetinaNet)/7. 2020 Update - More Fun and Excitement.srt 8.5 kB
  • 2. Review/4. Review of CNNs in Code.srt 8.4 kB
  • 5. Object Detection (SSD RetinaNet)/2. Object Localization.srt 8.3 kB
  • 5. Object Detection (SSD RetinaNet)/12. RetinaNet with Custom Dataset (pt 3).srt 8.2 kB
  • 11. Appendix FAQ/12. BONUS Where to get discount coupons and FREE deep learning material.srt 8.1 kB
  • 4. ResNet (and Inception)/6. Building ResNet - Conv Block Code.srt 8.0 kB
  • 10. Basics Review/4. (Review) Keras Neural Network in Code.srt 7.5 kB
  • 4. ResNet (and Inception)/4. Uh-oh! What Happens if the Implementation Changes.srt 7.3 kB
  • 9. Object Localization Project/15. Localization Code Outline (pt 7).srt 6.5 kB
  • 5. Object Detection (SSD RetinaNet)/13. Optional Intersection over Union & Non-max Suppression.srt 6.5 kB
  • 5. Object Detection (SSD RetinaNet)/1. SSD Section Intro.srt 6.3 kB
  • 9. Object Localization Project/5. Localization Code Outline (pt 2).srt 6.3 kB
  • 5. Object Detection (SSD RetinaNet)/10. RetinaNet with Custom Dataset (pt 1).srt 6.2 kB
  • 11. Appendix FAQ/9. Python 2 vs Python 3.srt 6.2 kB
  • 10. Basics Review/1. (Review) Tensorflow Basics.srt 6.0 kB
  • 4. ResNet (and Inception)/15. Different sized images using the same network.srt 5.6 kB
  • 10. Basics Review/2. (Review) Tensorflow Neural Network in Code.srt 5.6 kB
  • 10. Basics Review/5. (Review) Keras Functional API.srt 5.5 kB
  • 4. ResNet (and Inception)/10. Building ResNet - Putting it all together.srt 5.3 kB
  • 9. Object Localization Project/8. Localization Code (pt 3).srt 5.2 kB
  • 4. ResNet (and Inception)/13. 1x1 Convolutions.srt 5.0 kB
  • 4. ResNet (and Inception)/9. Building ResNet - First Few Layers (Code).srt 4.9 kB
  • 3. VGG and Transfer Learning/7. Code pt 2.srt 4.9 kB
  • 5. Object Detection (SSD RetinaNet)/5. The Problem of Scale.srt 4.7 kB
  • 5. Object Detection (SSD RetinaNet)/6. The Problem of Shape.srt 4.7 kB
  • 9. Object Localization Project/9. Localization Code Outline (pt 4).srt 4.7 kB
  • 4. ResNet (and Inception)/5. Building ResNet - Conv Block Details.srt 4.6 kB
  • 2. Review/3. Fashion MNIST.srt 4.6 kB
  • 6. Neural Style Transfer/6. Code pt 3.srt 4.6 kB
  • 3. VGG and Transfer Learning/8. Code pt 3.srt 4.5 kB
  • 9. Object Localization Project/7. Localization Code Outline (pt 3).srt 4.4 kB
  • 1. Welcome/3. How to Succeed in this Course.srt 4.1 kB
  • 3. VGG and Transfer Learning/1. VGG Section Intro.srt 3.9 kB
  • 4. ResNet (and Inception)/1. ResNet Section Intro.srt 3.8 kB
  • 11. Appendix FAQ/1. What is the Appendix.srt 3.8 kB
  • 6. Neural Style Transfer/1. Style Transfer Section Intro.srt 3.8 kB
  • 5. Object Detection (SSD RetinaNet)/3. What is Object Detection.srt 3.7 kB
  • 5. Object Detection (SSD RetinaNet)/14. SSD Section Summary.srt 3.6 kB
  • 1. Welcome/1. Introduction.srt 3.3 kB
  • 2. Review/2. Where to get the code and data.srt 3.2 kB
  • 4. ResNet (and Inception)/12. Applying ResNet.srt 3.2 kB
  • 4. ResNet (and Inception)/8. Building ResNet - First Few Layers.srt 3.1 kB
  • 4. ResNet (and Inception)/3. Building ResNet - Strategy.srt 3.0 kB
  • 4. ResNet (and Inception)/16. ResNet Section Summary.srt 3.0 kB
  • 6. Neural Style Transfer/7. Style Transfer Section Summary.srt 3.0 kB
  • 3. VGG and Transfer Learning/5. Getting the data.srt 2.9 kB
  • 3. VGG and Transfer Learning/4. Relationship to Greedy Layer-Wise Pretraining.srt 2.7 kB
  • 9. Object Localization Project/10. Localization Code (pt 4).srt 2.3 kB
  • 10. Basics Review/6. (Review) How to easily convert Keras into Tensorflow 2.0 code.srt 2.1 kB
  • 3. VGG and Transfer Learning/9. VGG Section Summary.srt 2.1 kB
  • 4. ResNet (and Inception)/7. Building ResNet - Identity Block Details.srt 1.8 kB
  • 4. ResNet (and Inception)/11. Exercise Apply ResNet.srt 1.6 kB
  • Verify Files.txt 1.1 kB
  • 9. Object Localization Project/3. Object Localization Colab Notebooks.html 789 Bytes
  • 5. Object Detection (SSD RetinaNet)/8. RetinaNet Notebooks.html 470 Bytes
  • 8. GANs (Generative Adversarial Networks)/2. GAN Colab Notebook.html 246 Bytes
  • 0. Websites you may like/[FreeAllCourse.Com].url 52 Bytes
  • [FreeAllCourse.Com].url 52 Bytes

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