|
Обратите внимание, что наш сайт не размещает какие-либо файлы из списка. Вы не можете скачать
эти файлы или скачать torrent-файл.
|
| [TGx]Downloaded from torrentgalaxy.to .txt |
585б |
| 1. (Review) Tensorflow Basics.mp4 |
81.53Мб |
| 1. (Review) Tensorflow Basics.srt |
5.88Кб |
| 1. Artificial Neural Networks Section Introduction.mp4 |
29.85Мб |
| 1. Artificial Neural Networks Section Introduction.srt |
8.00Кб |
| 1. Class Activation Maps (Theory).mp4 |
53.42Мб |
| 1. Class Activation Maps (Theory).srt |
8.79Кб |
| 1. GAN Theory.mp4 |
91.06Мб |
| 1. GAN Theory.srt |
20.71Кб |
| 1. How to Code by Yourself (part 1).mp4 |
24.53Мб |
| 1. How to Code by Yourself (part 1).srt |
22.75Кб |
| 1. How to Succeed in this Course (Long Version).mp4 |
12.99Мб |
| 1. How to Succeed in this Course (Long Version).srt |
14.66Кб |
| 1. Introduction.mp4 |
7.77Мб |
| 1. Introduction.srt |
3.21Кб |
| 1. Localization Introduction and Outline.mp4 |
62.90Мб |
| 1. Localization Introduction and Outline.srt |
18.11Кб |
| 1. ResNet Section Intro.mp4 |
2.82Мб |
| 1. ResNet Section Intro.srt |
3.73Кб |
| 1. SSD Section Intro.mp4 |
5.69Мб |
| 1. SSD Section Intro.srt |
6.17Кб |
| 1. Style Transfer Section Intro.mp4 |
2.91Мб |
| 1. Style Transfer Section Intro.srt |
3.71Кб |
| 1. VGG Section Intro.mp4 |
2.69Мб |
| 1. VGG Section Intro.srt |
3.83Кб |
| 1. What is Convolution (part 1).mp4 |
79.83Мб |
| 1. What is Convolution (part 1).srt |
20.65Кб |
| 1. What is Machine Learning.mp4 |
70.85Мб |
| 1. What is Machine Learning.srt |
18.94Кб |
| 1. What is the Appendix.mp4 |
5.45Мб |
| 1. What is the Appendix.srt |
3.72Кб |
| 1. Windows-Focused Environment Setup 2018.mp4 |
186.32Мб |
| 1. Windows-Focused Environment Setup 2018.srt |
20.10Кб |
| 10. Batch Normalization.mp4 |
21.13Мб |
| 10. Batch Normalization.srt |
6.48Кб |
| 10. Building ResNet - Putting it all together.mp4 |
5.91Мб |
| 10. Building ResNet - Putting it all together.srt |
5.13Кб |
| 10. Localization Code (pt 4).mp4 |
13.32Мб |
| 10. Localization Code (pt 4).srt |
2.23Кб |
| 10. RetinaNet with Custom Dataset (pt 2).mp4 |
60.52Мб |
| 10. RetinaNet with Custom Dataset (pt 2).srt |
12.04Кб |
| 10. Saving and Loading a Model.mp4 |
33.86Мб |
| 10. Saving and Loading a Model.srt |
4.94Кб |
| 11. Exercise Apply ResNet.mp4 |
2.07Мб |
| 11. Exercise Apply ResNet.srt |
1.55Кб |
| 11. Improving CIFAR-10 Results.mp4 |
72.94Мб |
| 11. Improving CIFAR-10 Results.srt |
13.34Кб |
| 11. Localization Code Outline (pt 5).mp4 |
43.07Мб |
| 11. Localization Code Outline (pt 5).srt |
10.75Кб |
| 11. RetinaNet with Custom Dataset (pt 3).mp4 |
61.81Мб |
| 11. RetinaNet with Custom Dataset (pt 3).srt |
8.01Кб |
| 11. Suggestion Box.mp4 |
16.11Мб |
| 11. Suggestion Box.srt |
4.70Кб |
| 12. Applying ResNet.mp4 |
3.59Мб |
| 12. Applying ResNet.srt |
3.11Кб |
| 12. Localization Code (pt 5).mp4 |
59.85Мб |
| 12. Localization Code (pt 5).srt |
10.40Кб |
| 12. Optional Intersection over Union & Non-max Suppression.mp4 |
4.59Мб |
| 12. Optional Intersection over Union & Non-max Suppression.srt |
6.32Кб |
| 13. 1x1 Convolutions.mp4 |
3.11Мб |
| 13. 1x1 Convolutions.srt |
4.92Кб |
| 13. Localization Code Outline (pt 6).mp4 |
33.57Мб |
| 13. Localization Code Outline (pt 6).srt |
9.42Кб |
| 13. SSD Section Summary.mp4 |
2.83Мб |
| 13. SSD Section Summary.srt |
3.50Кб |
| 14. Localization Code (pt 6).mp4 |
56.68Мб |
| 14. Localization Code (pt 6).srt |
9.91Кб |
| 14. Optional Inception.mp4 |
5.39Мб |
| 14. Optional Inception.srt |
8.63Кб |
| 15. Different sized images using the same network.mp4 |
7.41Мб |
| 15. Different sized images using the same network.srt |
5.51Кб |
| 15. Localization Code Outline (pt 7).mp4 |
20.61Мб |
| 15. Localization Code Outline (pt 7).srt |
6.32Кб |
| 16. Localization Code (pt 7).mp4 |
77.18Мб |
| 16. Localization Code (pt 7).srt |
15.48Кб |
| 16. ResNet Section Summary.mp4 |
4.19Мб |
| 16. ResNet Section Summary.srt |
2.90Кб |
| 2. (Review) Tensorflow Neural Network in Code.mp4 |
97.24Мб |
| 2. (Review) Tensorflow Neural Network in Code.srt |
5.51Кб |
| 2. BONUS Where to get discount coupons and FREE deep learning material.mp4 |
37.81Мб |
| 2. BONUS Where to get discount coupons and FREE deep learning material.srt |
7.87Кб |
| 2. Class Activation Maps (Code).mp4 |
104.76Мб |
| 2. Class Activation Maps (Code).srt |
10.06Кб |
| 2. Code Preparation (Classification Theory).mp4 |
65.13Мб |
| 2. Code Preparation (Classification Theory).srt |
20.47Кб |
| 2. Forward Propagation.mp4 |
46.75Мб |
| 2. Forward Propagation.srt |
12.41Кб |
| 2. GAN Colab Notebook.html |
246б |
| 2. How to Code by Yourself (part 2).mp4 |
8.64Мб |
| 2. How to Code by Yourself (part 2).srt |
13.22Кб |
| 2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 |
43.82Мб |
| 2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt |
14.48Кб |
| 2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 |
38.95Мб |
| 2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt |
31.79Кб |
| 2. Localization Code Outline (pt 1).mp4 |
41.29Мб |
| 2. Localization Code Outline (pt 1).srt |
14.08Кб |
| 2. Object Localization.mp4 |
5.69Мб |
| 2. Object Localization.srt |
8.12Кб |
| 2. Outline and Perspective.mp4 |
7.45Мб |
| 2. Outline and Perspective.srt |
8.85Кб |
| 2. ResNet Architecture.mp4 |
10.39Мб |
| 2. ResNet Architecture.srt |
16.52Кб |
| 2. Style Transfer Theory.mp4 |
19.94Мб |
| 2. Style Transfer Theory.srt |
14.43Кб |
| 2. What's so special about VGG.mp4 |
12.19Мб |
| 2. What's so special about VGG.srt |
9.04Кб |
| 2. What is Convolution (part 2).mp4 |
22.30Мб |
| 2. What is Convolution (part 2).srt |
6.99Кб |
| 3. (Review) Keras Discussion.mp4 |
27.64Мб |
| 3. (Review) Keras Discussion.srt |
9.08Кб |
| 3.1 Colab Notebooks.html |
157б |
| 3.1 Notebooks.html |
157б |
| 3.2 Github Link.html |
120б |
| 3. Beginner's Code Preamble.mp4 |
25.11Мб |
| 3. Beginner's Code Preamble.srt |
6.88Кб |
| 3. Building ResNet - Strategy.mp4 |
2.66Мб |
| 3. Building ResNet - Strategy.srt |
2.96Кб |
| 3. GAN Code.mp4 |
82.29Мб |
| 3. GAN Code.srt |
14.88Кб |
| 3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 |
29.32Мб |
| 3. Machine Learning and AI Prerequisite Roadmap (pt 1).srt |
16.03Кб |
| 3. Object Localization Colab Notebooks.html |
789б |
| 3. Optimizing the Loss.mp4 |
7.24Мб |
| 3. Optimizing the Loss.srt |
10.30Кб |
| 3. Proof that using Jupyter Notebook is the same as not using it.mp4 |
78.26Мб |
| 3. Proof that using Jupyter Notebook is the same as not using it.srt |
14.12Кб |
| 3. The Geometrical Picture.mp4 |
56.46Мб |
| 3. The Geometrical Picture.srt |
11.73Кб |
| 3. Transfer Learning.mp4 |
38.12Мб |
| 3. Transfer Learning.srt |
10.37Кб |
| 3. What is Convolution (part 3).mp4 |
27.63Мб |
| 3. What is Convolution (part 3).srt |
8.21Кб |
| 3. What is Object Detection.mp4 |
4.79Мб |
| 3. What is Object Detection.srt |
3.60Кб |
| 3. Where to get the code.mp4 |
46.05Мб |
| 3. Where to get the code.srt |
12.38Кб |
| 4. (Review) Keras Neural Network in Code.mp4 |
66.16Мб |
| 4. (Review) Keras Neural Network in Code.srt |
7.34Кб |
| 4. Activation Functions.mp4 |
80.61Мб |
| 4. Activation Functions.srt |
22.90Кб |
| 4. Classification Notebook.mp4 |
60.47Мб |
| 4. Classification Notebook.srt |
9.22Кб |
| 4. Code pt 1.mp4 |
9.46Мб |
| 4. Code pt 1.srt |
9.54Кб |
| 4. Convolution on Color Images.mp4 |
69.43Мб |
| 4. Convolution on Color Images.srt |
20.79Кб |
| 4. How to Succeed in this Course.mp4 |
3.30Мб |
| 4. How to Succeed in this Course.srt |
3.97Кб |
| 4. How would you find an object in an image.mp4 |
7.85Мб |
| 4. How would you find an object in an image.srt |
10.43Кб |
| 4. Localization Code (pt 1).mp4 |
53.81Мб |
| 4. Localization Code (pt 1).srt |
11.83Кб |
| 4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 |
37.62Мб |
| 4. Machine Learning and AI Prerequisite Roadmap (pt 2).srt |
23.04Кб |
| 4. Python 2 vs Python 3.mp4 |
5.47Мб |
| 4. Python 2 vs Python 3.srt |
6.05Кб |
| 4. Relationship to Greedy Layer-Wise Pretraining.mp4 |
3.88Мб |
| 4. Relationship to Greedy Layer-Wise Pretraining.srt |
2.60Кб |
| 4. Uh-oh! What Happens if the Implementation Changes.mp4 |
25.34Мб |
| 4. Uh-oh! What Happens if the Implementation Changes.srt |
7.17Кб |
| 5. (Review) Keras Functional API.mp4 |
38.64Мб |
| 5. (Review) Keras Functional API.srt |
5.40Кб |
| 5. Building ResNet - Conv Block Details.mp4 |
6.18Мб |
| 5. Building ResNet - Conv Block Details.srt |
4.53Кб |
| 5. CNN Architecture.mp4 |
80.68Мб |
| 5. CNN Architecture.srt |
28.64Кб |
| 5. Code Preparation (Regression Theory).mp4 |
30.71Мб |
| 5. Code Preparation (Regression Theory).srt |
8.85Кб |
| 5. Code pt 2.mp4 |
15.71Мб |
| 5. Code pt 2.srt |
9.13Кб |
| 5. Getting the data.mp4 |
1.77Мб |
| 5. Getting the data.srt |
2.83Кб |
| 5. Localization Code Outline (pt 2).mp4 |
18.71Мб |
| 5. Localization Code Outline (pt 2).srt |
6.16Кб |
| 5. Multiclass Classification.mp4 |
41.41Мб |
| 5. Multiclass Classification.srt |
11.09Кб |
| 5. The Problem of Scale.mp4 |
4.16Мб |
| 5. The Problem of Scale.srt |
4.63Кб |
| 6. (Review) How to easily convert Keras into Tensorflow 2.0 code.mp4 |
9.81Мб |
| 6. (Review) How to easily convert Keras into Tensorflow 2.0 code.srt |
2.08Кб |
| 6. Building ResNet - Conv Block Code.mp4 |
8.97Мб |
| 6. Building ResNet - Conv Block Code.srt |
7.80Кб |
| 6. CNN Code Preparation.mp4 |
76.91Мб |
| 6. CNN Code Preparation.srt |
19.77Кб |
| 6. Code pt 1.mp4 |
11.51Мб |
| 6. Code pt 1.srt |
12.21Кб |
| 6. Code pt 3.mp4 |
5.74Мб |
| 6. Code pt 3.srt |
4.46Кб |
| 6. How to Represent Images.mp4 |
70.49Мб |
| 6. How to Represent Images.srt |
15.84Кб |
| 6. Localization Code (pt 2).mp4 |
58.60Мб |
| 6. Localization Code (pt 2).srt |
13.71Кб |
| 6. Regression Notebook.mp4 |
64.67Мб |
| 6. Regression Notebook.srt |
12.36Кб |
| 6. The Problem of Shape.mp4 |
3.59Мб |
| 6. The Problem of Shape.srt |
4.61Кб |
| 7. 2020 Update - More Fun and Excitement.mp4 |
34.59Мб |
| 7. 2020 Update - More Fun and Excitement.srt |
8.33Кб |
| 7. Building ResNet - Identity Block Details.mp4 |
2.38Мб |
| 7. Building ResNet - Identity Block Details.srt |
1.72Кб |
| 7. CNN for Fashion MNIST.mp4 |
42.80Мб |
| 7. CNN for Fashion MNIST.srt |
7.98Кб |
| 7. Code Preparation (ANN).mp4 |
50.97Мб |
| 7. Code Preparation (ANN).srt |
16.41Кб |
| 7. Code pt 2.mp4 |
8.56Мб |
| 7. Code pt 2.srt |
4.78Кб |
| 7. Localization Code Outline (pt 3).mp4 |
12.33Мб |
| 7. Localization Code Outline (pt 3).srt |
4.31Кб |
| 7. Style Transfer Section Summary.mp4 |
2.50Мб |
| 7. Style Transfer Section Summary.srt |
2.89Кб |
| 7. The Neuron.mp4 |
45.48Мб |
| 7. The Neuron.srt |
12.61Кб |
| 8.1 Notebooks.html |
157б |
| 8. ANN for Image Classification.mp4 |
47.71Мб |
| 8. ANN for Image Classification.srt |
9.93Кб |
| 8. Building ResNet - First Few Layers.mp4 |
4.03Мб |
| 8. Building ResNet - First Few Layers.srt |
3.04Кб |
| 8. CNN for CIFAR-10.mp4 |
29.69Мб |
| 8. CNN for CIFAR-10.srt |
5.47Кб |
| 8. Code pt 3.mp4 |
4.22Мб |
| 8. Code pt 3.srt |
4.35Кб |
| 8. How does a model learn.mp4 |
51.84Мб |
| 8. How does a model learn.srt |
14.27Кб |
| 8. Localization Code (pt 3).mp4 |
30.06Мб |
| 8. Localization Code (pt 3).srt |
5.10Кб |
| 8. Using Pretrained RetinaNet.mp4 |
88.23Мб |
| 8. Using Pretrained RetinaNet.srt |
14.59Кб |
| 9. ANN for Regression.mp4 |
69.23Мб |
| 9. ANN for Regression.srt |
13.31Кб |
| 9. Building ResNet - First Few Layers (Code).mp4 |
10.31Мб |
| 9. Building ResNet - First Few Layers (Code).srt |
4.79Кб |
| 9. Data Augmentation.mp4 |
34.99Мб |
| 9. Data Augmentation.srt |
11.41Кб |
| 9. Localization Code Outline (pt 4).mp4 |
13.66Мб |
| 9. Localization Code Outline (pt 4).srt |
4.59Кб |
| 9. Making Predictions.mp4 |
36.85Мб |
| 9. Making Predictions.srt |
8.12Кб |
| 9. RetinaNet with Custom Dataset (pt 1).mp4 |
26.60Мб |
| 9. RetinaNet with Custom Dataset (pt 1).srt |
6.09Кб |
| 9. VGG Section Summary.mp4 |
3.15Мб |
| 9. VGG Section Summary.srt |
2.08Кб |
| TutsNode.com.txt |
63б |