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Download Deep Learning Advanced Computer Vision (GANs, SSD, +More!)

Deep Learning Advanced Computer Vision GANs SSD More

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Deep Learning Advanced Computer Vision (GANs, SSD, +More!)

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Total Size

4.1 GB

Total Files

242

Last Seen

2024-07-23 23:40

Hash

85DD61E28B06E8626ABAB0E43B6514CDB4CAC331

/.../13. Setting Up Your Environment (FAQ by Student Request)/

1. Windows-Focused Environment Setup 2018.mp4

195.4 MB

1. Windows-Focused Environment Setup 2018.srt

20.6 KB

2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4

46.0 MB

2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt

14.8 KB

/

TutsNode.com.txt

0.1 KB

[TGx]Downloaded from torrentgalaxy.to .txt

0.6 KB

/1. Welcome/

1. Introduction.mp4

8.1 MB

1. Introduction.srt

3.3 KB

2. Outline and Perspective.mp4

7.8 MB

2. Outline and Perspective.srt

9.1 KB

3. Where to get the code.mp4

48.3 MB

3. Where to get the code.srt

12.7 KB

3.1 Colab Notebooks.html

0.2 KB

3.2 Github Link.html

0.1 KB

4. How to Succeed in this Course.mp4

3.5 MB

4. How to Succeed in this Course.srt

4.1 KB

/.../2. Machine Learning Basics Review/

1. What is Machine Learning.mp4

74.3 MB

1. What is Machine Learning.srt

19.4 KB

2. Code Preparation (Classification Theory).mp4

68.3 MB

2. Code Preparation (Classification Theory).srt

21.0 KB

3. Beginner's Code Preamble.mp4

26.3 MB

3. Beginner's Code Preamble.srt

7.0 KB

3.1 Notebooks.html

0.2 KB

4. Classification Notebook.mp4

63.4 MB

4. Classification Notebook.srt

9.4 KB

5. Code Preparation (Regression Theory).mp4

32.2 MB

5. Code Preparation (Regression Theory).srt

9.1 KB

6. Regression Notebook.mp4

67.8 MB

6. Regression Notebook.srt

12.7 KB

7. The Neuron.mp4

47.7 MB

7. The Neuron.srt

12.9 KB

8. How does a model learn.mp4

54.4 MB

8. How does a model learn.srt

14.6 KB

9. Making Predictions.mp4

38.6 MB

9. Making Predictions.srt

8.3 KB

10. Saving and Loading a Model.mp4

35.5 MB

10. Saving and Loading a Model.srt

5.1 KB

11. Suggestion Box.mp4

16.9 MB

11. Suggestion Box.srt

4.8 KB

/.../3. Artificial Neural Networks (ANN) Review/

1. Artificial Neural Networks Section Introduction.mp4

31.3 MB

1. Artificial Neural Networks Section Introduction.srt

8.2 KB

2. Forward Propagation.mp4

49.0 MB

2. Forward Propagation.srt

12.7 KB

3. The Geometrical Picture.mp4

59.2 MB

3. The Geometrical Picture.srt

12.0 KB

4. Activation Functions.mp4

84.5 MB

4. Activation Functions.srt

23.5 KB

5. Multiclass Classification.mp4

43.4 MB

5. Multiclass Classification.srt

11.4 KB

6. How to Represent Images.mp4

73.9 MB

6. How to Represent Images.srt

16.2 KB

7. Code Preparation (ANN).mp4

53.4 MB

7. Code Preparation (ANN).srt

16.8 KB

8. ANN for Image Classification.mp4

50.0 MB

8. ANN for Image Classification.srt

10.2 KB

9. ANN for Regression.mp4

72.6 MB

9. ANN for Regression.srt

13.6 KB

/.../4. Convolutional Neural Networks (CNN) Review/

1. What is Convolution (part 1).mp4

83.7 MB

1. What is Convolution (part 1).srt

21.1 KB

2. What is Convolution (part 2).mp4

23.4 MB

2. What is Convolution (part 2).srt

7.2 KB

3. What is Convolution (part 3).mp4

29.0 MB

3. What is Convolution (part 3).srt

8.4 KB

4. Convolution on Color Images.mp4

72.8 MB

4. Convolution on Color Images.srt

21.3 KB

5. CNN Architecture.mp4

84.6 MB

5. CNN Architecture.srt

29.3 KB

6. CNN Code Preparation.mp4

80.6 MB

6. CNN Code Preparation.srt

20.2 KB

7. CNN for Fashion MNIST.mp4

44.9 MB

7. CNN for Fashion MNIST.srt

8.2 KB

8. CNN for CIFAR-10.mp4

31.1 MB

8. CNN for CIFAR-10.srt

5.6 KB

9. Data Augmentation.mp4

36.7 MB

9. Data Augmentation.srt

11.7 KB

10. Batch Normalization.mp4

22.2 MB

10. Batch Normalization.srt

6.6 KB

11. Improving CIFAR-10 Results.mp4

76.5 MB

11. Improving CIFAR-10 Results.srt

13.7 KB

/.../5. VGG and Transfer Learning/

1. VGG Section Intro.mp4

2.8 MB

1. VGG Section Intro.srt

3.9 KB

2. What's so special about VGG.mp4

12.8 MB

2. What's so special about VGG.srt

9.3 KB

3. Transfer Learning.mp4

40.0 MB

3. Transfer Learning.srt

10.6 KB

4. Relationship to Greedy Layer-Wise Pretraining.mp4

4.1 MB

4. Relationship to Greedy Layer-Wise Pretraining.srt

2.7 KB

5. Getting the data.mp4

1.9 MB

5. Getting the data.srt

2.9 KB

6. Code pt 1.mp4

12.1 MB

6. Code pt 1.srt

12.5 KB

7. Code pt 2.mp4

9.0 MB

7. Code pt 2.srt

4.9 KB

8. Code pt 3.mp4

4.4 MB

8. Code pt 3.srt

4.5 KB

9. VGG Section Summary.mp4

3.3 MB

9. VGG Section Summary.srt

2.1 KB

/.../6. ResNet (and Inception)/

1. ResNet Section Intro.mp4

3.0 MB

1. ResNet Section Intro.srt

3.8 KB

2. ResNet Architecture.mp4

10.9 MB

2. ResNet Architecture.srt

16.9 KB

3. Building ResNet - Strategy.mp4

2.8 MB

3. Building ResNet - Strategy.srt

3.0 KB

4. Uh-oh! What Happens if the Implementation Changes.mp4

26.6 MB

4. Uh-oh! What Happens if the Implementation Changes.srt

7.3 KB

5. Building ResNet - Conv Block Details.mp4

6.5 MB

5. Building ResNet - Conv Block Details.srt

4.6 KB

6. Building ResNet - Conv Block Code.mp4

9.4 MB

6. Building ResNet - Conv Block Code.srt

8.0 KB

7. Building ResNet - Identity Block Details.mp4

2.5 MB

7. Building ResNet - Identity Block Details.srt

1.8 KB

8. Building ResNet - First Few Layers.mp4

4.2 MB

8. Building ResNet - First Few Layers.srt

3.1 KB

9. Building ResNet - First Few Layers (Code).mp4

10.8 MB

9. Building ResNet - First Few Layers (Code).srt

4.9 KB

10. Building ResNet - Putting it all together.mp4

6.2 MB

10. Building ResNet - Putting it all together.srt

5.3 KB

11. Exercise Apply ResNet.mp4

2.2 MB

11. Exercise Apply ResNet.srt

1.6 KB

12. Applying ResNet.mp4

3.8 MB

12. Applying ResNet.srt

3.2 KB

13. 1x1 Convolutions.mp4

3.3 MB

13. 1x1 Convolutions.srt

5.0 KB

14. Optional Inception.mp4

5.7 MB

14. Optional Inception.srt

8.8 KB

15. Different sized images using the same network.mp4

7.8 MB

15. Different sized images using the same network.srt

5.6 KB

16. ResNet Section Summary.mp4

4.4 MB

16. ResNet Section Summary.srt

3.0 KB

/.../7. Object Detection (SSD RetinaNet)/

1. SSD Section Intro.mp4

6.0 MB

1. SSD Section Intro.srt

6.3 KB

2. Object Localization.mp4

6.0 MB

2. Object Localization.srt

8.3 KB

3. What is Object Detection.mp4

5.0 MB

3. What is Object Detection.srt

3.7 KB

4. How would you find an object in an image.mp4

8.2 MB

4. How would you find an object in an image.srt

10.7 KB

5. The Problem of Scale.mp4

4.4 MB

5. The Problem of Scale.srt

4.7 KB

6. The Problem of Shape.mp4

3.8 MB

6. The Problem of Shape.srt

4.7 KB

7. 2020 Update - More Fun and Excitement.mp4

36.3 MB

7. 2020 Update - More Fun and Excitement.srt

8.5 KB

8. Using Pretrained RetinaNet.mp4

92.5 MB

8. Using Pretrained RetinaNet.srt

14.9 KB

8.1 Notebooks.html

0.2 KB

9. RetinaNet with Custom Dataset (pt 1).mp4

27.9 MB

9. RetinaNet with Custom Dataset (pt 1).srt

6.2 KB

10. RetinaNet with Custom Dataset (pt 2).mp4

63.5 MB

10. RetinaNet with Custom Dataset (pt 2).srt

12.3 KB

11. RetinaNet with Custom Dataset (pt 3).mp4

64.8 MB

11. RetinaNet with Custom Dataset (pt 3).srt

8.2 KB

12. Optional Intersection over Union & Non-max Suppression.mp4

4.8 MB

12. Optional Intersection over Union & Non-max Suppression.srt

6.5 KB

13. SSD Section Summary.mp4

3.0 MB

13. SSD Section Summary.srt

3.6 KB

/.../8. Neural Style Transfer/

1. Style Transfer Section Intro.mp4

3.1 MB

1. Style Transfer Section Intro.srt

3.8 KB

2. Style Transfer Theory.mp4

20.9 MB

2. Style Transfer Theory.srt

14.8 KB

3. Optimizing the Loss.mp4

7.6 MB

3. Optimizing the Loss.srt

10.5 KB

4. Code pt 1.mp4

9.9 MB

4. Code pt 1.srt

9.8 KB

5. Code pt 2.mp4

16.5 MB

5. Code pt 2.srt

9.3 KB

6. Code pt 3.mp4

6.0 MB

6. Code pt 3.srt

4.6 KB

7. Style Transfer Section Summary.mp4

2.6 MB

7. Style Transfer Section Summary.srt

3.0 KB

/.../9. Class Activation Maps/

1. Class Activation Maps (Theory).mp4

56.0 MB

1. Class Activation Maps (Theory).srt

9.0 KB

2. Class Activation Maps (Code).mp4

109.9 MB

2. Class Activation Maps (Code).srt

10.3 KB

/.../10. GANs (Generative Adversarial Networks)/

1. GAN Theory.mp4

95.5 MB

1. GAN Theory.srt

21.2 KB

2. GAN Colab Notebook.html

0.2 KB

3. GAN Code.mp4

86.3 MB

3. GAN Code.srt

15.2 KB

/.../11. Object Localization Project/

1. Localization Introduction and Outline.mp4

66.0 MB

1. Localization Introduction and Outline.srt

18.5 KB

2. Localization Code Outline (pt 1).mp4

43.3 MB

2. Localization Code Outline (pt 1).srt

14.4 KB

3. Object Localization Colab Notebooks.html

0.8 KB

4. Localization Code (pt 1).mp4

56.4 MB

4. Localization Code (pt 1).srt

12.1 KB

5. Localization Code Outline (pt 2).mp4

19.6 MB

5. Localization Code Outline (pt 2).srt

6.3 KB

6. Localization Code (pt 2).mp4

61.4 MB

6. Localization Code (pt 2).srt

14.0 KB

7. Localization Code Outline (pt 3).mp4

12.9 MB

7. Localization Code Outline (pt 3).srt

4.4 KB

8. Localization Code (pt 3).mp4

31.5 MB

8. Localization Code (pt 3).srt

5.2 KB

9. Localization Code Outline (pt 4).mp4

14.3 MB

9. Localization Code Outline (pt 4).srt

4.7 KB

10. Localization Code (pt 4).mp4

14.0 MB

10. Localization Code (pt 4).srt

2.3 KB

11. Localization Code Outline (pt 5).mp4

45.2 MB

11. Localization Code Outline (pt 5).srt

11.0 KB

12. Localization Code (pt 5).mp4

62.8 MB

12. Localization Code (pt 5).srt

10.6 KB

13. Localization Code Outline (pt 6).mp4

35.2 MB

13. Localization Code Outline (pt 6).srt

9.6 KB

14. Localization Code (pt 6).mp4

59.4 MB

14. Localization Code (pt 6).srt

10.1 KB

15. Localization Code Outline (pt 7).mp4

21.6 MB

15. Localization Code Outline (pt 7).srt

6.5 KB

16. Localization Code (pt 7).mp4

80.9 MB

16. Localization Code (pt 7).srt

15.9 KB

/.../12. Keras and Tensorflow 2 Basics Review/

1. (Review) Tensorflow Basics.mp4

85.5 MB

1. (Review) Tensorflow Basics.srt

6.0 KB

2. (Review) Tensorflow Neural Network in Code.mp4

102.0 MB

2. (Review) Tensorflow Neural Network in Code.srt

5.6 KB

3. (Review) Keras Discussion.mp4

29.0 MB

3. (Review) Keras Discussion.srt

9.3 KB

4. (Review) Keras Neural Network in Code.mp4

69.4 MB

4. (Review) Keras Neural Network in Code.srt

7.5 KB

5. (Review) Keras Functional API.mp4

40.5 MB

5. (Review) Keras Functional API.srt

5.5 KB

6. (Review) How to easily convert Keras into Tensorflow 2.0 code.mp4

10.3 MB

6. (Review) How to easily convert Keras into Tensorflow 2.0 code.srt

2.1 KB

/.../14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/

1. How to Code by Yourself (part 1).mp4

25.7 MB

1. How to Code by Yourself (part 1).srt

23.3 KB

2. How to Code by Yourself (part 2).mp4

9.1 MB

2. How to Code by Yourself (part 2).srt

13.5 KB

3. Proof that using Jupyter Notebook is the same as not using it.mp4

82.1 MB

3. Proof that using Jupyter Notebook is the same as not using it.srt

14.5 KB

4. Python 2 vs Python 3.mp4

5.7 MB

4. Python 2 vs Python 3.srt

6.2 KB

/.../15. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/

1. How to Succeed in this Course (Long Version).mp4

13.6 MB

1. How to Succeed in this Course (Long Version).srt

15.0 KB

2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4

40.8 MB

2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt

32.5 KB

3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4

30.7 MB

3. Machine Learning and AI Prerequisite Roadmap (pt 1).srt

16.4 KB

4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4

39.4 MB

4. Machine Learning and AI Prerequisite Roadmap (pt 2).srt

23.6 KB

/.../16. Appendix FAQ Finale/

1. What is the Appendix.mp4

5.7 MB

1. What is the Appendix.srt

3.8 KB

2. BONUS Where to get discount coupons and FREE deep learning material.mp4

39.6 MB

2. BONUS Where to get discount coupons and FREE deep learning material.srt

8.1 KB

 

Total files 242


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