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