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

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Last Access Time	Nov. 18, 2025, 9:37 a.m.
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Keywords	GANs - FreeAllCourse Deep Udemy Computer Vision Learning SSD Com Advanced More
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11. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 186.3 MB
7. Class Activation Maps/2. Class Activation Maps (Code).mp4 104.8 MB
10. Basics Review/2. (Review) Tensorflow Neural Network in Code.mp4 97.3 MB
8. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 91.1 MB
5. Object Detection (SSD RetinaNet)/9. Using Pretrained RetinaNet.mp4 88.2 MB
8. GANs (Generative Adversarial Networks)/3. GAN Code.mp4 82.3 MB
10. Basics Review/1. (Review) Tensorflow Basics.mp4 81.5 MB
11. Appendix FAQ/7. Proof that using Jupyter Notebook is the same as not using it.mp4 78.3 MB
9. Object Localization Project/16. Localization Code (pt 7).mp4 77.2 MB
10. Basics Review/4. (Review) Keras Neural Network in Code.mp4 66.2 MB
9. Object Localization Project/1. Localization Introduction and Outline.mp4 62.9 MB
5. Object Detection (SSD RetinaNet)/12. RetinaNet with Custom Dataset (pt 3).mp4 61.8 MB
5. Object Detection (SSD RetinaNet)/11. RetinaNet with Custom Dataset (pt 2).mp4 60.5 MB
9. Object Localization Project/12. Localization Code (pt 5).mp4 59.9 MB
9. Object Localization Project/6. Localization Code (pt 2).mp4 58.6 MB
2. Review/4. Review of CNNs in Code.mp4 56.9 MB
9. Object Localization Project/14. Localization Code (pt 6).mp4 56.7 MB
9. Object Localization Project/4. Localization Code (pt 1).mp4 53.8 MB
7. Class Activation Maps/1. Class Activation Maps (Theory).mp4 53.4 MB
11. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 43.8 MB
9. Object Localization Project/11. Localization Code Outline (pt 5).mp4 43.1 MB
9. Object Localization Project/2. Localization Code Outline (pt 1).mp4 41.3 MB
11. Appendix FAQ/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 39.0 MB
10. Basics Review/5. (Review) Keras Functional API.mp4 38.7 MB
3. VGG and Transfer Learning/3. Transfer Learning.mp4 38.1 MB
11. Appendix FAQ/12. BONUS Where to get discount coupons and FREE deep learning material.mp4 37.8 MB
11. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 37.6 MB
5. Object Detection (SSD RetinaNet)/7. 2020 Update - More Fun and Excitement.mp4 34.6 MB
9. Object Localization Project/13. Localization Code Outline (pt 6).mp4 33.6 MB
9. Object Localization Project/8. Localization Code (pt 3).mp4 30.1 MB
11. Appendix FAQ/10. What order should I take your courses in (part 1).mp4 29.3 MB
10. Basics Review/3. (Review) Keras Discussion.mp4 27.6 MB
5. Object Detection (SSD RetinaNet)/10. RetinaNet with Custom Dataset (pt 1).mp4 26.6 MB
4. ResNet (and Inception)/4. Uh-oh! What Happens if the Implementation Changes.mp4 25.3 MB
11. Appendix FAQ/5. How to Code by Yourself (part 1).mp4 24.5 MB
9. Object Localization Project/15. Localization Code Outline (pt 7).mp4 20.6 MB
6. Neural Style Transfer/2. Style Transfer Theory.mp4 20.0 MB
9. Object Localization Project/5. Localization Code Outline (pt 2).mp4 18.7 MB
2. Review/1. Review of CNNs.mp4 18.5 MB
6. Neural Style Transfer/5. Code pt 2.mp4 15.7 MB
9. Object Localization Project/9. Localization Code Outline (pt 4).mp4 13.7 MB
9. Object Localization Project/10. Localization Code (pt 4).mp4 13.3 MB
11. Appendix FAQ/4. How to Succeed in this Course (Long Version).mp4 13.0 MB
9. Object Localization Project/7. Localization Code Outline (pt 3).mp4 12.3 MB
3. VGG and Transfer Learning/2. What's so special about VGG.mp4 12.2 MB
3. VGG and Transfer Learning/6. Code pt 1.mp4 11.5 MB
4. ResNet (and Inception)/2. ResNet Architecture.mp4 10.4 MB
4. ResNet (and Inception)/9. Building ResNet - First Few Layers (Code).mp4 10.3 MB
10. Basics Review/6. (Review) How to easily convert Keras into Tensorflow 2.0 code.mp4 9.8 MB
6. Neural Style Transfer/4. Code pt 1.mp4 9.5 MB
4. ResNet (and Inception)/6. Building ResNet - Conv Block Code.mp4 9.0 MB
11. Appendix FAQ/6. How to Code by Yourself (part 2).mp4 8.6 MB
3. VGG and Transfer Learning/7. Code pt 2.mp4 8.6 MB
5. Object Detection (SSD RetinaNet)/4. How would you find an object in an image.mp4 7.9 MB
1. Welcome/1. Introduction.mp4 7.8 MB
1. Welcome/2. Outline and Perspective.mp4 7.5 MB
4. ResNet (and Inception)/15. Different sized images using the same network.mp4 7.4 MB
6. Neural Style Transfer/3. Optimizing the Loss.mp4 7.3 MB
4. ResNet (and Inception)/5. Building ResNet - Conv Block Details.mp4 6.2 MB
4. ResNet (and Inception)/10. Building ResNet - Putting it all together.mp4 5.9 MB
6. Neural Style Transfer/6. Code pt 3.mp4 5.7 MB
5. Object Detection (SSD RetinaNet)/1. SSD Section Intro.mp4 5.7 MB
5. Object Detection (SSD RetinaNet)/2. Object Localization.mp4 5.7 MB
11. Appendix FAQ/9. Python 2 vs Python 3.mp4 5.5 MB
11. Appendix FAQ/1. What is the Appendix.mp4 5.5 MB
4. ResNet (and Inception)/14. Optional Inception.mp4 5.4 MB
5. Object Detection (SSD RetinaNet)/3. What is Object Detection.mp4 4.8 MB
5. Object Detection (SSD RetinaNet)/13. Optional Intersection over Union & Non-max Suppression.mp4 4.6 MB
3. VGG and Transfer Learning/8. Code pt 3.mp4 4.2 MB
4. ResNet (and Inception)/16. ResNet Section Summary.mp4 4.2 MB
5. Object Detection (SSD RetinaNet)/5. The Problem of Scale.mp4 4.2 MB
4. ResNet (and Inception)/8. Building ResNet - First Few Layers.mp4 4.0 MB
3. VGG and Transfer Learning/4. Relationship to Greedy Layer-Wise Pretraining.mp4 3.9 MB
5. Object Detection (SSD RetinaNet)/6. The Problem of Shape.mp4 3.6 MB
4. ResNet (and Inception)/12. Applying ResNet.mp4 3.6 MB
1. Welcome/3. How to Succeed in this Course.mp4 3.3 MB
2. Review/3. Fashion MNIST.mp4 3.3 MB
3. VGG and Transfer Learning/9. VGG Section Summary.mp4 3.2 MB
4. ResNet (and Inception)/13. 1x1 Convolutions.mp4 3.1 MB
6. Neural Style Transfer/1. Style Transfer Section Intro.mp4 2.9 MB
5. Object Detection (SSD RetinaNet)/14. SSD Section Summary.mp4 2.8 MB
4. ResNet (and Inception)/1. ResNet Section Intro.mp4 2.8 MB
3. VGG and Transfer Learning/1. VGG Section Intro.mp4 2.7 MB
4. ResNet (and Inception)/3. Building ResNet - Strategy.mp4 2.7 MB
6. Neural Style Transfer/7. Style Transfer Section Summary.mp4 2.5 MB
4. ResNet (and Inception)/7. Building ResNet - Identity Block Details.mp4 2.4 MB
2. Review/2. Where to get the code and data.mp4 2.2 MB
4. ResNet (and Inception)/11. Exercise Apply ResNet.mp4 2.1 MB
3. VGG and Transfer Learning/5. Getting the data.mp4 1.8 MB
11. Appendix FAQ/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt 31.8 KB
11. Appendix FAQ/11. What order should I take your courses in (part 2).srt 23.0 KB
11. Appendix FAQ/5. How to Code by Yourself (part 1).srt 22.8 KB
8. GANs (Generative Adversarial Networks)/1. GAN Theory.srt 20.7 KB
11. Appendix FAQ/2. Windows-Focused Environment Setup 2018.srt 20.1 KB
9. Object Localization Project/1. Localization Introduction and Outline.srt 18.1 KB
4. ResNet (and Inception)/2. ResNet Architecture.srt 16.5 KB
11. Appendix FAQ/10. What order should I take your courses in (part 1).srt 16.0 KB
9. Object Localization Project/16. Localization Code (pt 7).srt 15.5 KB
8. GANs (Generative Adversarial Networks)/3. GAN Code.srt 14.9 KB
11. Appendix FAQ/4. How to Succeed in this Course (Long Version).srt 14.7 KB
5. Object Detection (SSD RetinaNet)/9. Using Pretrained RetinaNet.srt 14.6 KB
11. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt 14.5 KB
6. Neural Style Transfer/2. Style Transfer Theory.srt 14.4 KB
11. Appendix FAQ/7. Proof that using Jupyter Notebook is the same as not using it.srt 14.1 KB
9. Object Localization Project/2. Localization Code Outline (pt 1).srt 14.1 KB
2. Review/1. Review of CNNs.srt 13.9 KB
9. Object Localization Project/6. Localization Code (pt 2).srt 13.7 KB
11. Appendix FAQ/6. How to Code by Yourself (part 2).srt 13.2 KB
3. VGG and Transfer Learning/6. Code pt 1.srt 12.2 KB
5. Object Detection (SSD RetinaNet)/11. RetinaNet with Custom Dataset (pt 2).srt 12.0 KB
9. Object Localization Project/4. Localization Code (pt 1).srt 11.8 KB
9. Object Localization Project/11. Localization Code Outline (pt 5).srt 10.8 KB
5. Object Detection (SSD RetinaNet)/4. How would you find an object in an image.srt 10.4 KB
9. Object Localization Project/12. Localization Code (pt 5).srt 10.4 KB
3. VGG and Transfer Learning/3. Transfer Learning.srt 10.4 KB
6. Neural Style Transfer/3. Optimizing the Loss.srt 10.3 KB
7. Class Activation Maps/2. Class Activation Maps (Code).srt 10.1 KB
9. Object Localization Project/14. Localization Code (pt 6).srt 9.9 KB
6. Neural Style Transfer/4. Code pt 1.srt 9.5 KB
9. Object Localization Project/13. Localization Code Outline (pt 6).srt 9.4 KB
6. Neural Style Transfer/5. Code pt 2.srt 9.1 KB
10. Basics Review/3. (Review) Keras Discussion.srt 9.1 KB
3. VGG and Transfer Learning/2. What's so special about VGG.srt 9.0 KB
1. Welcome/2. Outline and Perspective.srt 8.9 KB
7. Class Activation Maps/1. Class Activation Maps (Theory).srt 8.8 KB
4. ResNet (and Inception)/14. Optional Inception.srt 8.6 KB
5. Object Detection (SSD RetinaNet)/7. 2020 Update - More Fun and Excitement.srt 8.3 KB
2. Review/4. Review of CNNs in Code.srt 8.2 KB
5. Object Detection (SSD RetinaNet)/2. Object Localization.srt 8.1 KB
5. Object Detection (SSD RetinaNet)/12. RetinaNet with Custom Dataset (pt 3).srt 8.0 KB
11. Appendix FAQ/12. BONUS Where to get discount coupons and FREE deep learning material.srt 7.9 KB
4. ResNet (and Inception)/6. Building ResNet - Conv Block Code.srt 7.8 KB
10. Basics Review/4. (Review) Keras Neural Network in Code.srt 7.3 KB
4. ResNet (and Inception)/4. Uh-oh! What Happens if the Implementation Changes.srt 7.2 KB
9. Object Localization Project/15. Localization Code Outline (pt 7).srt 6.3 KB
5. Object Detection (SSD RetinaNet)/13. Optional Intersection over Union & Non-max Suppression.srt 6.3 KB
5. Object Detection (SSD RetinaNet)/1. SSD Section Intro.srt 6.2 KB
9. Object Localization Project/5. Localization Code Outline (pt 2).srt 6.2 KB
5. Object Detection (SSD RetinaNet)/10. RetinaNet with Custom Dataset (pt 1).srt 6.1 KB
11. Appendix FAQ/9. Python 2 vs Python 3.srt 6.0 KB
10. Basics Review/1. (Review) Tensorflow Basics.srt 5.9 KB
4. ResNet (and Inception)/15. Different sized images using the same network.srt 5.5 KB
10. Basics Review/2. (Review) Tensorflow Neural Network in Code.srt 5.5 KB
10. Basics Review/5. (Review) Keras Functional API.srt 5.4 KB
4. ResNet (and Inception)/10. Building ResNet - Putting it all together.srt 5.1 KB
9. Object Localization Project/8. Localization Code (pt 3).srt 5.1 KB
4. ResNet (and Inception)/13. 1x1 Convolutions.srt 4.9 KB
4. ResNet (and Inception)/9. Building ResNet - First Few Layers (Code).srt 4.8 KB
3. VGG and Transfer Learning/7. Code pt 2.srt 4.8 KB
5. Object Detection (SSD RetinaNet)/5. The Problem of Scale.srt 4.6 KB
5. Object Detection (SSD RetinaNet)/6. The Problem of Shape.srt 4.6 KB
9. Object Localization Project/9. Localization Code Outline (pt 4).srt 4.6 KB
4. ResNet (and Inception)/5. Building ResNet - Conv Block Details.srt 4.5 KB
2. Review/3. Fashion MNIST.srt 4.5 KB
6. Neural Style Transfer/6. Code pt 3.srt 4.5 KB
3. VGG and Transfer Learning/8. Code pt 3.srt 4.3 KB
9. Object Localization Project/7. Localization Code Outline (pt 3).srt 4.3 KB
1. Welcome/3. How to Succeed in this Course.srt 4.0 KB
3. VGG and Transfer Learning/1. VGG Section Intro.srt 3.8 KB
4. ResNet (and Inception)/1. ResNet Section Intro.srt 3.7 KB
11. Appendix FAQ/1. What is the Appendix.srt 3.7 KB
6. Neural Style Transfer/1. Style Transfer Section Intro.srt 3.7 KB
5. Object Detection (SSD RetinaNet)/3. What is Object Detection.srt 3.6 KB
5. Object Detection (SSD RetinaNet)/14. SSD Section Summary.srt 3.5 KB
1. Welcome/1. Introduction.srt 3.2 KB
2. Review/2. Where to get the code and data.srt 3.1 KB
4. ResNet (and Inception)/12. Applying ResNet.srt 3.1 KB
4. ResNet (and Inception)/8. Building ResNet - First Few Layers.srt 3.0 KB
4. ResNet (and Inception)/3. Building ResNet - Strategy.srt 3.0 KB
4. ResNet (and Inception)/16. ResNet Section Summary.srt 2.9 KB
6. Neural Style Transfer/7. Style Transfer Section Summary.srt 2.9 KB
3. VGG and Transfer Learning/5. Getting the data.srt 2.8 KB
3. VGG and Transfer Learning/4. Relationship to Greedy Layer-Wise Pretraining.srt 2.6 KB
9. Object Localization Project/10. Localization Code (pt 4).srt 2.2 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 1.7 KB
4. ResNet (and Inception)/11. Exercise Apply ResNet.srt 1.5 KB
Verify Files.txt 1.0 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
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