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[DesireCourse.Net] Udemy - Deep Learning Advanced Computer Vision
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文档列表
9. Appendix FAQ/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
9. Appendix FAQ/12. What order should I take your courses in (part 2).mp4
86.5 MB
8. Basics Review/1. (Review) Tensorflow Basics.mp4
85.5 MB
9. Appendix FAQ/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
1. Welcome/2. Outline and Perspective.mp4
64.9 MB
9. Appendix FAQ/11. What order should I take your courses in (part 1).mp4
63.7 MB
7. Bonus Class Activation Maps/1. Class Activation Maps (Theory).mp4
56.0 MB
9. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
46.0 MB
2. Review/1. Review of CNNs.mp4
42.8 MB
9. Appendix FAQ/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
40.8 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
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 FAQ/5. How to Code by Yourself (part 1).mp4
25.7 MB
4. ResNet (and Inception)/1. ResNet Section Intro.mp4
23.4 MB
3. VGG and Transfer Learning/1. VGG Section Intro.mp4
22.3 MB
6. Neural Style Transfer/2. Style Transfer Theory.mp4
20.9 MB
5. Object Detection (SSD)/7. SSD in Tensorflow.mp4
18.3 MB
1. Welcome/1. Introduction.mp4
17.2 MB
6. Neural Style Transfer/5. Code pt 2.mp4
16.5 MB
9. Appendix FAQ/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
8. 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)/5. Building ResNet - Conv Block Code.mp4
9.4 MB
9. 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)/4. How would you find an object in an image.mp4
8.2 MB
2. Review/4. Review of CNNs in Code.mp4
8.0 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)/2. Object Localization.mp4
6.0 MB
5. Object Detection (SSD)/1. SSD Section Intro.mp4
6.0 MB
9. Appendix FAQ/10. Python 2 vs Python 3.mp4
5.7 MB
9. Appendix FAQ/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.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 FAQ/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
5. Object Detection (SSD)/10. SSD Section Summary.mp4
3.0 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 FAQ/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt
32.6 kB
9. Appendix FAQ/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt
28.4 kB
9. Appendix FAQ/12. What order should I take your courses in (part 2).srt
23.6 kB
9. Appendix FAQ/5. How to Code by Yourself (part 1).srt
23.3 kB
9. Appendix FAQ/12. What order should I take your courses in (part 2).vtt
20.7 kB
9. Appendix FAQ/2. Windows-Focused Environment Setup 2018.srt
20.6 kB
9. Appendix FAQ/5. How to Code by Yourself (part 1).vtt
20.3 kB
9. Appendix FAQ/2. Windows-Focused Environment Setup 2018.vtt
17.8 kB
4. ResNet (and Inception)/2. ResNet Architecture.srt
16.9 kB
9. Appendix FAQ/11. What order should I take your courses in (part 1).srt
16.4 kB
9. Appendix FAQ/4. How to Succeed in this Course (Long Version).srt
15.0 kB
4. ResNet (and Inception)/2. ResNet Architecture.vtt
14.9 kB
9. 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
9. Appendix FAQ/7. Proof that using Jupyter Notebook is the same as not using it.srt
14.5 kB
9. Appendix FAQ/11. What order should I take your courses in (part 1).vtt
14.4 kB
2. Review/1. Review of CNNs.srt
14.2 kB
9. Appendix FAQ/6. How to Code by Yourself (part 2).srt
13.5 kB
9. Appendix FAQ/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 FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt
12.7 kB
9. Appendix FAQ/7. Proof that using Jupyter Notebook is the same as not using it.vtt
12.5 kB
3. VGG and Transfer Learning/6. Code pt 1.srt
12.5 kB
2. Review/1. Review of CNNs.vtt
12.5 kB
9. Appendix FAQ/6. How to Code by Yourself (part 2).vtt
11.9 kB
5. Object Detection (SSD)/7. SSD in Tensorflow.srt
11.4 kB
3. VGG and Transfer Learning/6. Code pt 1.vtt
11.0 kB
5. Object Detection (SSD)/4. How would you find an object in an image.srt
10.7 kB
3. VGG and Transfer Learning/3. Transfer Learning.srt
10.6 kB
6. Neural Style Transfer/3. Optimizing the Loss.srt
10.6 kB
7. Bonus Class Activation Maps/2. Class Activation Maps (Code).srt
10.3 kB
5. Object Detection (SSD)/7. SSD in Tensorflow.vtt
9.9 kB
6. Neural Style Transfer/4. Code pt 1.srt
9.8 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/5. Code pt 2.srt
9.4 kB
8. Basics Review/3. (Review) Keras Discussion.srt
9.3 kB
6. Neural Style Transfer/3. Optimizing the Loss.vtt
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. Bonus Class Activation Maps/1. Class Activation Maps (Theory).srt
9.0 kB
7. Bonus Class Activation Maps/2. Class Activation Maps (Code).vtt
8.9 kB
4. ResNet (and Inception)/13. Optional Inception.srt
8.8 kB
6. Neural Style Transfer/4. Code pt 1.vtt
8.5 kB
5. Object Detection (SSD)/2. Object Localization.srt
8.3 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
4. ResNet (and Inception)/5. Building ResNet - Conv Block Code.srt
8.0 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
2. Review/4. Review of CNNs in Code.srt
7.6 kB
8. Basics Review/4. (Review) Keras Neural Network in Code.srt
7.5 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)/9. Optional Intersection over Union & Non-max Suppression.srt
6.5 kB
5. Object Detection (SSD)/1. SSD Section Intro.srt
6.3 kB
9. Appendix FAQ/10. Python 2 vs Python 3.srt
6.2 kB
8. Basics Review/1. (Review) Tensorflow Basics.srt
6.0 kB
5. Object Detection (SSD)/8. Modifying SSD to work on Video.srt
5.8 kB
5. Object Detection (SSD)/9. Optional Intersection over Union & Non-max Suppression.vtt
5.7 kB
4. ResNet (and Inception)/14. Different sized images using the same network.srt
5.7 kB
8. Basics Review/2. (Review) Tensorflow Neural Network in Code.srt
5.6 kB
5. Object Detection (SSD)/1. SSD Section Intro.vtt
5.6 kB
8. Basics Review/5. (Review) Keras Functional API.srt
5.5 kB
9. Appendix FAQ/10. Python 2 vs Python 3.vtt
5.4 kB
4. ResNet (and Inception)/9. Building ResNet - Putting it all together.srt
5.3 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)/12. 1x1 Convolutions.srt
5.0 kB
4. ResNet (and Inception)/14. Different sized images using the same network.vtt
5.0 kB
4. ResNet (and Inception)/8. Building ResNet - First Few Layers (Code).srt
4.9 kB
3. VGG and Transfer Learning/7. Code pt 2.srt
4.9 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
5. Object Detection (SSD)/5. The Problem of Scale.srt
4.7 kB
5. Object Detection (SSD)/6. The Problem of Shape.srt
4.7 kB
4. ResNet (and Inception)/4. Building ResNet - Conv Block Details.srt
4.6 kB
2. Review/3. Fashion MNIST.srt
4.6 kB
4. ResNet (and Inception)/9. Building ResNet - Putting it all together.vtt
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
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
1. Welcome/3. How to Succeed in this Course.srt
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/1. VGG Section Intro.srt
3.9 kB
3. VGG and Transfer Learning/8. Code pt 3.vtt
3.9 kB
4. ResNet (and Inception)/1. ResNet Section Intro.srt
3.8 kB
9. 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)/3. What is Object Detection.srt
3.7 kB
5. Object Detection (SSD)/10. SSD Section Summary.srt
3.6 kB
1. Welcome/3. How to Succeed in this Course.vtt
3.6 kB
9. Appendix FAQ/9. Where to get discount coupons and FREE deep learning material.srt
3.5 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 FAQ/1. What is the Appendix.vtt
3.4 kB
1. Welcome/1. Introduction.srt
3.3 kB
5. Object Detection (SSD)/3. What is Object Detection.vtt
3.2 kB
2. Review/2. Where to get the code and data.srt
3.2 kB
5. Object Detection (SSD)/10. SSD Section Summary.vtt
3.2 kB
4. ResNet (and Inception)/11. Applying ResNet.srt
3.2 kB
4. ResNet (and Inception)/7. Building ResNet - First Few Layers.srt
3.1 kB
9. Appendix FAQ/9. Where to get discount coupons and FREE deep learning material.vtt
3.1 kB
4. ResNet (and Inception)/3. Building ResNet - Strategy.srt
3.0 kB
4. ResNet (and Inception)/15. ResNet Section Summary.srt
3.0 kB
6. Neural Style Transfer/7. Style Transfer Section Summary.srt
3.0 kB
1. Welcome/1. Introduction.vtt
2.9 kB
3. VGG and Transfer Learning/5. Getting the data.srt
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
3. VGG and Transfer Learning/4. Relationship to Greedy Layer-Wise Pretraining.srt
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.srt
2.1 kB
8. 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.vtt
1.9 kB
8. Basics Review/6. (Review) How to easily convert Keras into Tensorflow 2.0 code.vtt
1.9 kB
4. ResNet (and Inception)/6. Building ResNet - Identity Block Details.srt
1.8 kB
4. ResNet (and Inception)/10. Exercise Apply ResNet.srt
1.6 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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