Udemy - Deep Learning: Advanced Computer Vision [TP]

Files:

• 1. Introduction.mp4 (7.8 MB)
• 1. Introduction.vtt (2.8 KB)
• 2. Outline and Perspective.mp4 (7.5 MB)
• 2. Outline and Perspective.vtt (7.8 KB)
• 3. How to Succeed in this Course.mp4 (3.3 MB)
• 3. How to Succeed in this Course.vtt (3.5 KB)

• 1. Review of CNNs.mp4 (18.5 MB)
• 1. Review of CNNs.vtt (18.5 MB)
• 2. Where to get the code and data.mp4 (2.2 MB)
• 2. Where to get the code and data.vtt (2.8 KB)
• 3. Fashion MNIST.mp4 (3.3 MB)
• 3. Fashion MNIST.vtt (4.0 KB)
• 4. Review of CNNs in Code.mp4 (7.6 MB)
• 4. Review of CNNs in Code.vtt (6.0 MB)

• 1. VGG Section Intro.mp4 (2.7 MB)
• 1. VGG Section Intro.vtt (3.4 KB)
• 2. What's so special about VGG.mp4 (12.2 MB)
• 2. What's so special about VGG.vtt (8.0 KB)
• 3. Transfer Learning.mp4 (38.1 MB)
• 3. Transfer Learning.vtt (9.2 KB)
• 4. Relationship to Greedy Layer-Wise Pretraining.mp4 (3.9 MB)
• 4. Relationship to Greedy Layer-Wise Pretraining.vtt (2.3 KB)
• 5. Getting the data.mp4 (1.8 MB)
• 5. Getting the data.vtt (2.5 KB)
• 6. Code pt 1.mp4 (11.5 MB)
• 6. Code pt 1.vtt (10.7 KB)
• 7. Code pt 2.mp4 (8.6 MB)
• 7. Code pt 2.vtt (4.2 KB)
• 8. Code pt 3.mp4 (4.2 MB)
• 8. Code pt 3.vtt (3.8 KB)
• 9. VGG Section Summary.mp4 (3.2 MB)
• 9. VGG Section Summary.vtt (1.9 KB)

• 1. ResNet Section Intro.mp4 (2.8 MB)
• 1. ResNet Section Intro.vtt (3.3 KB)
• 10. Exercise Apply ResNet.mp4 (2.1 MB)
• 10. Exercise Apply ResNet.vtt (1.4 KB)
• 11. Applying ResNet.mp4 (3.6 MB)
• 11. Applying ResNet.vtt (2.7 KB)
• 12. 1x1 Convolutions.mp4 (3.1 MB)
• 12. 1x1 Convolutions.vtt (4.3 KB)
• 13. Optional Inception.mp4 (5.4 MB)
• 13. Optional Inception.vtt (7.6 KB)
• 14. Different sized images using the same network.mp4 (7.4 MB)
• 14. Different sized images using the same network.vtt (4.8 KB)
• 15. ResNet Section Summary.mp4 (4.2 MB)
• 15. ResNet Section Summary.vtt (2.6 KB)
• 2. ResNet Architecture.mp4 (10.4 MB)
• 2. ResNet Architecture.vtt (14.5 KB)
• 3. Building ResNet - Strategy.mp4 (2.7 MB)
• 3. Building ResNet - Strategy.vtt (2.6 KB)
• 4. Building ResNet - Conv Block Details.mp4 (6.2 MB)
• 4. Building ResNet - Conv Block Details.vtt (4.0 KB)
• 5. Building ResNet - Conv Block Code.mp4 (9.0 MB)
• 5. Building ResNet - Conv Block Code.vtt (6.9 KB)
• 6. Building ResNet - Identity Block Details.mp4 (2.4 MB)
• 6. Building ResNet - Identity Block Details.vtt (1.5 KB)
• 7. Building ResNet - First Few Layers.mp4 (4.0 MB)
• 7. Building ResNet - First Few Layers.vtt (2.7 KB)
• 8. Building ResNet - First Few Layers (Code).mp4 (10.3 MB)
• 8. Building ResNet - First Few Layers (Code).vtt (4.2 KB)
• 9. Building ResNet - Putting it all together.mp4 (5.9 MB)
• 9. Building ResNet - Putting it all together.vtt (4.5 KB)

• 1. SSD Section Intro.mp4 (5.7 MB)
• 1. SSD Section Intro.vtt (5.5 KB)
• 10. SSD Section Summary.mp4 (2.8 MB)
• 10. SSD Section Summary.vtt (3.1 KB)
• 2. Object Localization.mp4 (5.7 MB)
• 2. Object Localization.vtt (7.2 KB)
• 3. What is Object Detection.mp4 (4.8 MB)
• 3. What is Object Detection.vtt (3.2 KB)
• 4. How would you find an object in an image.mp4 (7.9 MB)
• 4. How would you find an object in an image.vtt (9.2 KB)
• 5. The Problem of Scale.mp4 (4.2 MB)
• 5. The Problem of Scale.vtt (4.0 KB)
• 6. The Problem of Shape.mp4 (3.6 MB)
• 6. The Problem of Shape.vtt (4.1 KB)
• 7. SSD in Tensorflow.mp4 (17.4 MB)
• 7. SSD in Tensorflow.vtt (9.6 KB)
• 8. Modifying SSD to work on Video.mp4 (24.8 MB)
• 8. Modifying SSD to work on Video.vtt (24.8 MB)
• 9. Optional Intersection over Union & Non-max Suppression.mp4 (4.6 MB)
• 9. Optional Intersection over Union & Non-max Suppression.vtt (5.6 KB)

• 1. Style Transfer Section Intro.mp4 (2.9 MB)
• 1. Style Transfer Section Intro.vtt (3.3 KB)
• 2. Style Transfer Theory.mp4 (19.9 MB)
• 2. Style Transfer Theory.vtt (12.7 KB)
• 3. Optimizing the Loss.mp4 (7.3 MB)
• 3. Optimizing the Loss.vtt (9.0 KB)
• 4. Code pt 1.mp4 (9.5 MB)
• 4. Code pt 1.vtt (8.3 KB)
• 5. Code pt 2.mp4 (15.7 MB)
• 5. Code pt 2.vtt (8.0 KB)
• 6. Code pt 3.mp4 (5.7 MB)
• 6. Code pt 3.vtt (3.9 KB)
• 7. Style Transfer Section Summary.mp4 (2.5 MB)
• 7. Style Transfer Section Summary.vtt (2.6 KB)

• 1. Class Activation Maps (Theory).mp4 (53.4 MB)
• 1. Class Activation Maps (Theory).vtt (7.8 KB)
• 2. Class Activation Maps (Code).mp4 (104.8 MB)
• 2. Class Activation Maps (Code).vtt (8.7 KB)

• 1. (Review) Tensorflow Basics.mp4 (81.5 MB)
• 1. (Review) Tensorflow Basics.vtt (5.1 KB)
• 2. (Review) Tensorflow Neural Network in Code.mp4 (97.2 MB)
• 2. (Review) Tensorflow Neural Network in Code.vtt (4.8 KB)
• 3. (Review) Keras Discussion.mp4 (27.6 MB)
• 3. (Review) Keras Discussion.vtt (8.0 KB)
• 4. (Review) Keras Neural Network in Code.mp4 (66.2 MB)
• 4. (Review) Keras Neural Network in Code.vtt (6.5 KB)
• 5. (Review) Keras Functional API.mp4 (38.6 MB)
• 5. (Review) Keras Functional API.vtt (4.7 KB)

• 1. What is the Appendix.mp4 (5.5 MB)
• 1. What is the Appendix.vtt (3.3 KB)
• 10. Python 2 vs Python 3.mp4 (5.5 MB)
• 10. Python 2 vs Python 3.vtt (5.3 KB)
• 11. What order should I take your courses in (part 1).mp4 (29.3 MB)
• 11. What order should I take your courses in (part 1).vtt (14.1 KB)
• 12. What order should I take your courses in (part 2).mp4 (37.6 MB)
• 12. What order should I take your courses in (part 2).vtt (37.6 MB)
• 2. Windows-Focused Environment Setup 2018.mp4 (186.3 MB)
• 2. Windows-Focused Environment Setup 2018.vtt (17.4 KB)
• 3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 (43.8 MB)
• 3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt (12.4 KB)
• 4. How to Succeed in this Course (Long Version).mp4 (13.0 MB)
• 4. How to Succeed in this Course (Long Version).vtt (12.9 KB)
• 5. How to Code by Yourself (part 1).mp4 (24.5 MB)
• 5. How to Code by Yourself (part 1).vtt (19.8 KB)
• 6. How to Code by Yourself (part 2).mp4 (8.6 MB)
• 6. How to Code by Yourself (part 2).vtt (11.6 KB)
• 7. Proof that using Jupyter Notebook is the same as not using it.mp4 (78.3 MB)
• 7. Proof that using Jupyter Notebook is the same as not using it.vtt (12.2 KB)
• 8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 (39.0 MB)
• 8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt (27.8 KB)
• 9. Where to get discount coupons and FREE deep learning material.mp4 (3.4 MB)
• 9. Where to get discount coupons and FREE deep learning material.vtt (3.0 KB)

• [Tutorialsplanet.NET].url (0.1 KB)