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[FreeTutorials Us] Udemy - Deep Learning Advanced Computer Vision
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Name:[FreeTutorials Us] Udemy - Deep Learning Advanced Computer Vision
Infohash: 33183B3EAAE8595A93A9ECE8039CD97FBDF1FE24
Total Size: 1.48 GB
Magnet: Magnet Download
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Stream: Watch Full Movies @ LimeMovies
Last Updated: 2026-01-16 01:56:17 (Update Now)
Torrent added: 2019-10-12 07:30:18
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0. Websites you may like (Size: 1.48 GB) (Files: 210)
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How you can help Team-FTU.txt
1. Welcome
1. Introduction.mp4
1. Introduction.srt
1. Introduction.vtt
2. Outline and Perspective.mp4
2. Outline and Perspective.srt
2. Outline and Perspective.vtt
3. How to Succeed in this Course.mp4
3. How to Succeed in this Course.srt
3. How to Succeed in this Course.vtt
2. Review
1. Review of CNNs.mp4
1. Review of CNNs.srt
1. Review of CNNs.vtt
2. Where to get the code and data.mp4
2. Where to get the code and data.srt
2. Where to get the code and data.vtt
3. Fashion MNIST.mp4
3. Fashion MNIST.srt
3. Fashion MNIST.vtt
4. Review of CNNs in Code.mp4
4. Review of CNNs in Code.srt
4. Review of CNNs in Code.vtt
3. VGG and Transfer Learning
1. VGG Section Intro.mp4
1. VGG Section Intro.srt
1. VGG Section Intro.vtt
2. What's so special about VGG.mp4
2. What's so special about VGG.srt
2. What's so special about VGG.vtt
3. Transfer Learning.mp4
3. Transfer Learning.srt
3. Transfer Learning.vtt
4. Relationship to Greedy Layer-Wise Pretraining.mp4
4. Relationship to Greedy Layer-Wise Pretraining.srt
4. Relationship to Greedy Layer-Wise Pretraining.vtt
5. Getting the data.mp4
5. Getting the data.srt
5. Getting the data.vtt
6. Code pt 1.mp4
6. Code pt 1.srt
6. Code pt 1.vtt
7. Code pt 2.mp4
7. Code pt 2.srt
7. Code pt 2.vtt
8. Code pt 3.mp4
8. Code pt 3.srt
8. Code pt 3.vtt
9. VGG Section Summary.mp4
9. VGG Section Summary.srt
9. VGG Section Summary.vtt
4. ResNet (and Inception)
1. ResNet Section Intro.mp4
1. ResNet Section Intro.srt
1. ResNet Section Intro.vtt
10. Exercise Apply ResNet.mp4
10. Exercise Apply ResNet.srt
10. Exercise Apply ResNet.vtt
11. Applying ResNet.mp4
11. Applying ResNet.srt
11. Applying ResNet.vtt
12. 1x1 Convolutions.mp4
12. 1x1 Convolutions.srt
12. 1x1 Convolutions.vtt
13. Optional Inception.mp4
13. Optional Inception.srt
13. Optional Inception.vtt
14. Different sized images using the same network.mp4
14. Different sized images using the same network.srt
14. Different sized images using the same network.vtt
15. ResNet Section Summary.mp4
15. ResNet Section Summary.srt
15. ResNet Section Summary.vtt
2. ResNet Architecture.mp4
2. ResNet Architecture.srt
2. ResNet Architecture.vtt
3. Building ResNet - Strategy.mp4
3. Building ResNet - Strategy.srt
3. Building ResNet - Strategy.vtt
4. Building ResNet - Conv Block Details.mp4
4. Building ResNet - Conv Block Details.srt
4. Building ResNet - Conv Block Details.vtt
5. Building ResNet - Conv Block Code.mp4
5. Building ResNet - Conv Block Code.srt
5. Building ResNet - Conv Block Code.vtt
6. Building ResNet - Identity Block Details.mp4
6. Building ResNet - Identity Block Details.srt
6. Building ResNet - Identity Block Details.vtt
7. Building ResNet - First Few Layers.mp4
7. Building ResNet - First Few Layers.srt
7. Building ResNet - First Few Layers.vtt
8. Building ResNet - First Few Layers (Code).mp4
8. Building ResNet - First Few Layers (Code).srt
8. Building ResNet - First Few Layers (Code).vtt
9. Building ResNet - Putting it all together.mp4
9. Building ResNet - Putting it all together.srt
9. Building ResNet - Putting it all together.vtt
5. Object Detection (SSD)
1. SSD Section Intro.mp4
1. SSD Section Intro.srt
1. SSD Section Intro.vtt
10. SSD Section Summary.mp4
10. SSD Section Summary.srt
10. SSD Section Summary.vtt
2. Object Localization.mp4
2. Object Localization.srt
2. Object Localization.vtt
3. What is Object Detection.mp4
3. What is Object Detection.srt
3. What is Object Detection.vtt
4. How would you find an object in an image.mp4
4. How would you find an object in an image.srt
4. How would you find an object in an image.vtt
5. The Problem of Scale.mp4
5. The Problem of Scale.srt
5. The Problem of Scale.vtt
6. The Problem of Shape.mp4
6. The Problem of Shape.srt
6. The Problem of Shape.vtt
7. SSD in Tensorflow.mp4
7. SSD in Tensorflow.srt
7. SSD in Tensorflow.vtt
8. Modifying SSD to work on Video.mp4
8. Modifying SSD to work on Video.srt
8. Modifying SSD to work on Video.vtt
9. Optional Intersection over Union & Non-max Suppression.mp4
9. Optional Intersection over Union & Non-max Suppression.srt
9. Optional Intersection over Union & Non-max Suppression.vtt
6. Neural Style Transfer
1. Style Transfer Section Intro.mp4
1. Style Transfer Section Intro.srt
1. Style Transfer Section Intro.vtt
2. Style Transfer Theory.mp4
2. Style Transfer Theory.srt
2. Style Transfer Theory.vtt
3. Optimizing the Loss.mp4
3. Optimizing the Loss.srt
3. Optimizing the Loss.vtt
4. Code pt 1.mp4
4. Code pt 1.srt
4. Code pt 1.vtt
5. Code pt 2.mp4
5. Code pt 2.srt
5. Code pt 2.vtt
6. Code pt 3.mp4
6. Code pt 3.srt
6. Code pt 3.vtt
7. Style Transfer Section Summary.mp4
7. Style Transfer Section Summary.srt
7. Style Transfer Section Summary.vtt
7. Bonus Class Activation Maps
1. Class Activation Maps (Theory).mp4
1. Class Activation Maps (Theory).srt
1. Class Activation Maps (Theory).vtt
2. Class Activation Maps (Code).mp4
2. Class Activation Maps (Code).srt
2. Class Activation Maps (Code).vtt
8. Basics Review
1. (Review) Tensorflow Basics.mp4
1. (Review) Tensorflow Basics.srt
1. (Review) Tensorflow Basics.vtt
2. (Review) Tensorflow Neural Network in Code.mp4
2. (Review) Tensorflow Neural Network in Code.srt
2. (Review) Tensorflow Neural Network in Code.vtt
3. (Review) Keras Discussion.mp4
3. (Review) Keras Discussion.srt
3. (Review) Keras Discussion.vtt
4. (Review) Keras Neural Network in Code.mp4
4. (Review) Keras Neural Network in Code.srt
4. (Review) Keras Neural Network in Code.vtt
5. (Review) Keras Functional API.mp4
5. (Review) Keras Functional API.srt
5. (Review) Keras Functional API.vtt
6. (Review) How to easily convert Keras into Tensorflow 2.0 code.mp4
6. (Review) How to easily convert Keras into Tensorflow 2.0 code.srt
6. (Review) How to easily convert Keras into Tensorflow 2.0 code.vtt
9. Appendix FAQ
1. What is the Appendix.mp4
1. What is the Appendix.srt
1. What is the Appendix.vtt
10. Python 2 vs Python 3.mp4
10. Python 2 vs Python 3.srt
10. Python 2 vs Python 3.vtt
11. What order should I take your courses in (part 1).mp4
11. What order should I take your courses in (part 1).srt
11. What order should I take your courses in (part 1).vtt
12. What order should I take your courses in (part 2).mp4
12. What order should I take your courses in (part 2).srt
12. What order should I take your courses in (part 2).vtt
2. Windows-Focused Environment Setup 2018.mp4
2. Windows-Focused Environment Setup 2018.srt
2. Windows-Focused Environment Setup 2018.vtt
3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt
3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt
4. How to Succeed in this Course (Long Version).mp4
4. How to Succeed in this Course (Long Version).srt
4. How to Succeed in this Course (Long Version).vtt
5. How to Code by Yourself (part 1).mp4
5. How to Code by Yourself (part 1).srt
5. How to Code by Yourself (part 1).vtt
6. How to Code by Yourself (part 2).mp4
6. How to Code by Yourself (part 2).srt
6. How to Code by Yourself (part 2).vtt
7. Proof that using Jupyter Notebook is the same as not using it.mp4
7. Proof that using Jupyter Notebook is the same as not using it.srt
7. Proof that using Jupyter Notebook is the same as not using it.vtt
8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt
8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt
9. Where to get discount coupons and FREE deep learning material.mp4
9. Where to get discount coupons and FREE deep learning material.srt
9. Where to get discount coupons and FREE deep learning material.vtt
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