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种子名称： [FreeTutorials.Us] Udemy - Deep Learning Advanced Computer Vision
文件类型： 视频
文件数目： 68个文件
文件大小： 1.48 GB
收录时间： 2020-2-4 13:57
已经下载： 3次
资源热度： 180
最近下载： 2024-12-22 15:54

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[FreeTutorials.Us] Udemy - Deep Learning Advanced Computer Vision.torrent

1. Welcome/1. Introduction.mp416.4MB

1. Welcome/2. Outline and Perspective.mp461.9MB

1. Welcome/3. How to Succeed in this Course.mp43.31MB

2. Review/1. Review of CNNs.mp440.84MB

2. Review/2. Where to get the code and data.mp42.18MB

2. Review/3. Fashion MNIST.mp43.29MB

2. Review/4. Review of CNNs in Code.mp47.61MB

3. VGG and Transfer Learning/1. VGG Section Intro.mp421.29MB

3. VGG and Transfer Learning/2. What's so special about VGG.mp412.19MB

3. VGG and Transfer Learning/3. Transfer Learning.mp438.12MB

3. VGG and Transfer Learning/4. Relationship to Greedy Layer-Wise Pretraining.mp43.88MB

3. VGG and Transfer Learning/5. Getting the data.mp41.77MB

3. VGG and Transfer Learning/6. Code pt 1.mp411.51MB

3. VGG and Transfer Learning/7. Code pt 2.mp48.56MB

3. VGG and Transfer Learning/8. Code pt 3.mp44.21MB

3. VGG and Transfer Learning/9. VGG Section Summary.mp43.15MB

4. ResNet (and Inception)/1. ResNet Section Intro.mp422.35MB

4. ResNet (and Inception)/10. Exercise Apply ResNet.mp42.07MB

4. ResNet (and Inception)/11. Applying ResNet.mp43.59MB

4. ResNet (and Inception)/12. 1x1 Convolutions.mp43.12MB

4. ResNet (and Inception)/13. Optional Inception.mp45.39MB

4. ResNet (and Inception)/14. Different sized images using the same network.mp47.42MB

4. ResNet (and Inception)/15. ResNet Section Summary.mp44.19MB

4. ResNet (and Inception)/2. ResNet Architecture.mp410.39MB

4. ResNet (and Inception)/3. Building ResNet - Strategy.mp42.66MB

4. ResNet (and Inception)/4. Building ResNet - Conv Block Details.mp46.19MB

4. ResNet (and Inception)/5. Building ResNet - Conv Block Code.mp48.97MB

4. ResNet (and Inception)/6. Building ResNet - Identity Block Details.mp42.37MB

4. ResNet (and Inception)/7. Building ResNet - First Few Layers.mp44.03MB

4. ResNet (and Inception)/8. Building ResNet - First Few Layers (Code).mp410.31MB

4. ResNet (and Inception)/9. Building ResNet - Putting it all together.mp45.91MB

5. Object Detection (SSD)/1. SSD Section Intro.mp45.69MB

5. Object Detection (SSD)/10. SSD Section Summary.mp42.82MB

5. Object Detection (SSD)/2. Object Localization.mp45.69MB

5. Object Detection (SSD)/3. What is Object Detection.mp44.79MB

5. Object Detection (SSD)/4. How would you find an object in an image.mp47.86MB

5. Object Detection (SSD)/5. The Problem of Scale.mp44.16MB

5. Object Detection (SSD)/6. The Problem of Shape.mp43.59MB

5. Object Detection (SSD)/7. SSD in Tensorflow.mp417.42MB

5. Object Detection (SSD)/8. Modifying SSD to work on Video.mp424.79MB

5. Object Detection (SSD)/9. Optional Intersection over Union & Non-max Suppression.mp44.59MB

6. Neural Style Transfer/1. Style Transfer Section Intro.mp42.91MB

6. Neural Style Transfer/2. Style Transfer Theory.mp419.94MB

6. Neural Style Transfer/3. Optimizing the Loss.mp47.24MB

6. Neural Style Transfer/4. Code pt 1.mp49.46MB

6. Neural Style Transfer/5. Code pt 2.mp415.71MB

6. Neural Style Transfer/6. Code pt 3.mp45.74MB

6. Neural Style Transfer/7. Style Transfer Section Summary.mp42.5MB

7. Bonus Class Activation Maps/1. Class Activation Maps (Theory).mp453.42MB

7. Bonus Class Activation Maps/2. Class Activation Maps (Code).mp4104.76MB

8. Basics Review/1. (Review) Tensorflow Basics.mp481.53MB

8. Basics Review/2. (Review) Tensorflow Neural Network in Code.mp497.24MB

8. Basics Review/3. (Review) Keras Discussion.mp427.64MB

8. Basics Review/4. (Review) Keras Neural Network in Code.mp466.16MB

8. Basics Review/5. (Review) Keras Functional API.mp438.64MB

8. Basics Review/6. (Review) How to easily convert Keras into Tensorflow 2.0 code.mp49.81MB

9. Appendix FAQ/1. What is the Appendix.mp45.45MB

9. Appendix FAQ/10. Python 2 vs Python 3.mp45.47MB

9. Appendix FAQ/11. What order should I take your courses in (part 1).mp460.78MB

9. Appendix FAQ/12. What order should I take your courses in (part 2).mp482.48MB

9. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4186.32MB

9. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp443.83MB

9. Appendix FAQ/4. How to Succeed in this Course (Long Version).mp412.99MB

9. Appendix FAQ/5. How to Code by Yourself (part 1).mp424.53MB

9. Appendix FAQ/6. How to Code by Yourself (part 2).mp48.65MB

9. Appendix FAQ/7. Proof that using Jupyter Notebook is the same as not using it.mp478.26MB

9. Appendix FAQ/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp438.95MB

9. Appendix FAQ/9. Where to get discount coupons and FREE deep learning material.mp43.37MB