Udemy - Deep Learning: Advanced Computer Vision [TP]

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[Tutorialsplanet.NET] Udemy - Deep Learning Advanced Computer Vision 1. Welcome
  • 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)
2. Review
  • 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)
3. VGG and Transfer Learning
  • 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)
4. ResNet (and Inception)
  • 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)
5. Object Detection (SSD)
  • 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)
6. Neural Style Transfer
  • 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)
7. Bonus Class Activation Maps
  • 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)
8. Basics Review
  • 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)

  • Description

    Udemy - Deep Learning: Advanced Computer Vision [TP]



    This is one of the most exciting courses I’ve done and it really shows how fast and how far deep learning has come over the years.

    When I first started my deep learning series, I didn’t ever consider that I’d make two courses on convolutional neural networks.

    I think what you’ll find is that, this course is so entirely different from the previous one, you will be impressed at just how much material we have to cover.

    Let me give you a quick rundown of what this course is all about:

    We’re going to bridge the gap between the basic CNN architecture you already know and love, to modern, novel architectures such as VGG, ResNet, and Inception (named after the movie which by the way, is also great!)

    We’re going to apply these to images of blood cells, and create a system that is a better medical expert than either you or I. This brings up a fascinating idea: that the doctors of the future are not humans, but robots.



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Udemy - Deep Learning: Advanced Computer Vision [TP]

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1.4 GB
seeders:3
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Udemy - Deep Learning: Advanced Computer Vision [TP]

Torrent hash: A5B6714D130723FA01744A8D2DA260425857B82F