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[FreeCourseSite.com] Udemy - Master Deep Learning with TensorFlow in Python

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File Name

Size

1. Welcome! Course introduction/1. Meet your instructors and why you should study machine learning.mp4

105.79MB

1. Welcome! Course introduction/1. Meet your instructors and why you should study machine learning.vtt

8.82KB

1. Welcome! Course introduction/2. What does the course cover.mp4

16.36MB

1. Welcome! Course introduction/2. What does the course cover.vtt

5.47KB

1. Welcome! Course introduction/3. What does the course cover - Quiz.html

161B

10. Gradient descent and learning rates/1. Stochastic gradient descent.mp4

9.38MB

10. Gradient descent and learning rates/1. Stochastic gradient descent.vtt

4.23KB

10. Gradient descent and learning rates/2. Gradient descent pitfalls.mp4

4.31MB

10. Gradient descent and learning rates/2. Gradient descent pitfalls.vtt

2.5KB

10. Gradient descent and learning rates/3. Momentum.mp4

6.11MB

10. Gradient descent and learning rates/3. Momentum.vtt

3.1KB

10. Gradient descent and learning rates/4. Learning rate schedules.mp4

10.3MB

10. Gradient descent and learning rates/4. Learning rate schedules.vtt

5.25KB

10. Gradient descent and learning rates/5. Learning rate schedules. A picture.mp4

3.15MB

10. Gradient descent and learning rates/5. Learning rate schedules. A picture.vtt

1.9KB

10. Gradient descent and learning rates/6. Adaptive learning rate schedules.mp4

8.86MB

10. Gradient descent and learning rates/6. Adaptive learning rate schedules.vtt

4.57KB

10. Gradient descent and learning rates/7. Adaptive moment estimation.mp4

7.78MB

10. Gradient descent and learning rates/7. Adaptive moment estimation.vtt

2.93KB

11. Preprocessing/1. Preprocessing introduction.mp4

8.42MB

11. Preprocessing/1. Preprocessing introduction.vtt

3.38KB

11. Preprocessing/2. Basic preprocessing.mp4

3.65MB

11. Preprocessing/2. Basic preprocessing.vtt

1.48KB

11. Preprocessing/3. Standardization.mp4

8.33MB

11. Preprocessing/3. Standardization.vtt

5.29KB

11. Preprocessing/4. Dealing with categorical data.mp4

6.08MB

11. Preprocessing/4. Dealing with categorical data.vtt

2.44KB

11. Preprocessing/5. One-hot and binary encoding.mp4

6.24MB

11. Preprocessing/5. One-hot and binary encoding.vtt

4.15KB

12. The MNIST example/1. The dataset.mp4

7.37MB

12. The MNIST example/1. The dataset.vtt

3.06KB

12. The MNIST example/10. MNIST - exercises.html

2.29KB

12. The MNIST example/10.1 MNIST_Exercises_All.html

144B

12. The MNIST example/11. MNIST - solutions.html

2.21KB

12. The MNIST example/11.1 MNIST_Depth_Solution.html

150B

12. The MNIST example/11.10 MNIST_Learning_rate_Part_1_Solution.html

165B

12. The MNIST example/11.11 TensorFlow_MNIST_Activation_functions_Part_1_Solution.html

172B

12. The MNIST example/11.2 MNIST_take_note_of_time_Solution.html

162B

12. The MNIST example/11.3 Width_and_Depth_Solution.html

160B

12. The MNIST example/11.4 MNIST_Learning_rate_Part_2_Solution.html

165B

12. The MNIST example/11.5 MNIST_around_98_percent_accuracy_solution.html

157B

12. The MNIST example/11.6 MNIST_Batch_size_Part_2_Solution.html

162B

12. The MNIST example/11.7 MNIST_Width_Solution.html

150B

12. The MNIST example/11.8 MNIST_Batch_size_Part_1_Solution.html

162B

12. The MNIST example/11.9 MNIST_Activation_functions_Part_2_Solution.html

172B

12. The MNIST example/2. How to tackle the MNIST.mp4

7.3MB

12. The MNIST example/2. How to tackle the MNIST.vtt

3.18KB

12. The MNIST example/3. Importing the relevant packages.mp4

5.46MB

12. The MNIST example/3. Importing the relevant packages.vtt

1.91KB

12. The MNIST example/3.1 TensorFlow_MNIST_with_comments_Part_1.html

159B

12. The MNIST example/4. Outlining the model.mp4

18.37MB

12. The MNIST example/4. Outlining the model.vtt

7.84KB

12. The MNIST example/4.1 TensorFlow_MNIST_with_comments_Part_2.html

159B

12. The MNIST example/5. Declaring the loss and the optimization algorithm.mp4

7.14MB

12. The MNIST example/5. Declaring the loss and the optimization algorithm.vtt

3.12KB

12. The MNIST example/5.1 TensorFlow_MNIST_with_comments_Part_3.html

159B

12. The MNIST example/6. Accuracy of prediction.mp4

12.38MB

12. The MNIST example/6. Accuracy of prediction.vtt

4.56KB

12. The MNIST example/6.1 TensorFlow_MNIST_with_comments_Part_4.html

159B

12. The MNIST example/7. Batching and early stopping.mp4

4.58MB

12. The MNIST example/7. Batching and early stopping.vtt

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12. The MNIST example/7.1 TensorFlow_MNIST_with_comments_Part_5.html

159B

12. The MNIST example/8. Learning.mp4

15.9MB

12. The MNIST example/8. Learning.vtt

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12. The MNIST example/8.1 TensorFlow_MNIST_with_comments_Part_6.html

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12. The MNIST example/9. Discuss the results and test.mp4

21.97MB

12. The MNIST example/9. Discuss the results and test.vtt

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12. The MNIST example/9.1 TensorFlow_MNIST_with_comments.html

152B

13. Business case/1. Exploring the dataset and identifying predictors.mp4

23.26MB

13. Business case/1. Exploring the dataset and identifying predictors.vtt

9.43KB

13. Business case/1.1 Audiobooks_data.csv.csv

710.77KB

13. Business case/10. Testing the model.mp4

4.29MB

13. Business case/10. Testing the model.vtt

2.32KB

13. Business case/11. A comment on the homework.mp4

13.01MB

13. Business case/11. A comment on the homework.vtt

4.63KB

13. Business case/11.1 Homework exercise.html

134B

13. Business case/12. Final exercise.html

441B

13. Business case/12.1 Homework exercise.html

134B

13. Business case/2. Outlining the business case solution.mp4

3.84MB

13. Business case/2. Outlining the business case solution.vtt

2.24KB

13. Business case/3. Balancing the dataset.mp4

13.81MB

13. Business case/3. Balancing the dataset.vtt

3.86KB

13. Business case/4. Preprocessing the data.mp4

34.33MB

13. Business case/4. Preprocessing the data.vtt

11.75KB

13. Business case/4.1 Preprocessing.html

134B

13. Business case/5. Preprocessing exercise.html

394B

13. Business case/5.1 Preprocessing exercise.html

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13. Business case/6. Create a class for batching.mp4

27.65MB

13. Business case/6. Create a class for batching.vtt

6.86KB

13. Business case/6.1 Class.html

134B

13. Business case/7. Outlining the model.mp4

19.46MB

13. Business case/7. Outlining the model.vtt

6.05KB

13. Business case/7.1 Outlining the model.html

134B

13. Business case/8. Optimizing the algorithm.mp4

12.22MB

13. Business case/8. Optimizing the algorithm.vtt

5.74KB

13. Business case/8.1 Optimizing the algorithm.html

134B

13. Business case/9. Interpreting the result.mp4

5.35MB

13. Business case/9. Interpreting the result.vtt

2.58KB

13. Business case/9.1 Interpreting the result.html

134B

14. Appendix Linear Algebra Fundamentals/1. What is a Matrix.mp4

33.59MB

14. Appendix Linear Algebra Fundamentals/1. What is a Matrix.vtt

3.8KB

14. Appendix Linear Algebra Fundamentals/10. Dot Product of Matrices.mp4

49.38MB

14. Appendix Linear Algebra Fundamentals/10. Dot Product of Matrices.vtt

8.22KB

14. Appendix Linear Algebra Fundamentals/10.1 Dot Product of Matrices Python Notebook.html

171B

14. Appendix Linear Algebra Fundamentals/11. Why is Linear Algebra Useful.mp4

144.33MB

14. Appendix Linear Algebra Fundamentals/11. Why is Linear Algebra Useful.vtt

10.31KB

14. Appendix Linear Algebra Fundamentals/2. Scalars and Vectors.mp4

33.84MB

14. Appendix Linear Algebra Fundamentals/2. Scalars and Vectors.vtt

3.3KB

14. Appendix Linear Algebra Fundamentals/3. Linear Algebra and Geometry.mp4

49.8MB

14. Appendix Linear Algebra Fundamentals/3. Linear Algebra and Geometry.vtt

3.54KB

14. Appendix Linear Algebra Fundamentals/4. Scalars, Vectors and Matrices in Python.mp4

26.67MB

14. Appendix Linear Algebra Fundamentals/4. Scalars, Vectors and Matrices in Python.vtt

5.31KB

14. Appendix Linear Algebra Fundamentals/4.1 Scalars, Vectors and Matrices Python Notebook.html

181B

14. Appendix Linear Algebra Fundamentals/5. Tensors.mp4

22.52MB

14. Appendix Linear Algebra Fundamentals/5. Tensors.vtt

3.17KB

14. Appendix Linear Algebra Fundamentals/5.1 Tensors Notebook.html

148B

14. Appendix Linear Algebra Fundamentals/6. Addition and Subtraction of Matrices.mp4

32.61MB

14. Appendix Linear Algebra Fundamentals/6. Addition and Subtraction of Matrices.vtt

3.48KB

14. Appendix Linear Algebra Fundamentals/6.1 Addition and Subtraction Python Notebook.html

178B

14. Appendix Linear Algebra Fundamentals/7. Errors when Adding Matrices.mp4

11.17MB

14. Appendix Linear Algebra Fundamentals/7. Errors when Adding Matrices.vtt

2.27KB

14. Appendix Linear Algebra Fundamentals/7.1 Errors when Adding Matrices Python Notebook.html

220B

14. Appendix Linear Algebra Fundamentals/8. Transpose of a Matrix.mp4

38.08MB

14. Appendix Linear Algebra Fundamentals/8. Transpose of a Matrix.vtt

4.69KB

14. Appendix Linear Algebra Fundamentals/8.1 Transpose of a Matrix Python Notebook.html

167B

14. Appendix Linear Algebra Fundamentals/9. Dot Product of Vectors.mp4

23.99MB

14. Appendix Linear Algebra Fundamentals/9. Dot Product of Vectors.vtt

3.68KB

14. Appendix Linear Algebra Fundamentals/9.1 Dot Product Python Notebook.html

154B

15. Conclusion/1. See how much you have learned.mp4

13.96MB

15. Conclusion/1. See how much you have learned.vtt

4.61KB

15. Conclusion/2. What’s further out there in the machine and deep learning world.mp4

6.27MB

15. Conclusion/2. What’s further out there in the machine and deep learning world.vtt

2.27KB

15. Conclusion/3. An overview of CNNs.mp4

10.93MB

15. Conclusion/3. An overview of CNNs.vtt

5.67KB

15. Conclusion/4. How DeepMind uses deep learning.html

1.36KB

15. Conclusion/5. An overview of RNNs.mp4

4.86MB

15. Conclusion/5. An overview of RNNs.vtt

3.25KB

15. Conclusion/6. An overview of non-NN approaches.mp4

7.84MB

15. Conclusion/6. An overview of non-NN approaches.vtt

4.58KB

16. Bonus lecture/1. Bonus lecture Next steps.html

2.51KB

2. Introduction to neural networks/1. Introduction to neural networks.mp4

13.56MB

2. Introduction to neural networks/1. Introduction to neural networks.vtt

5.19KB

2. Introduction to neural networks/1.1 Course Notes - Section 2.pdf.pdf

927.67KB

2. Introduction to neural networks/10. The linear model. Multiple inputs.mp4

7.5MB

2. Introduction to neural networks/10. The linear model. Multiple inputs.vtt

2.75KB

2. Introduction to neural networks/10.1 Course Notes - Section 2.pdf.pdf

927.67KB

2. Introduction to neural networks/11. The linear model. Multiple inputs - Quiz.html

161B

2. Introduction to neural networks/12. The linear model. Multiple inputs and multiple outputs.mp4

38.29MB

2. Introduction to neural networks/12. The linear model. Multiple inputs and multiple outputs.vtt

4.79KB

2. Introduction to neural networks/12.1 Course Notes - Section 2.pdf.pdf

927.67KB

2. Introduction to neural networks/13. The linear model. Multiple inputs and multiple outputs - Quiz.html

161B

2. Introduction to neural networks/14. Graphical representation.mp4

6.35MB

2. Introduction to neural networks/14. Graphical representation.vtt

2.34KB

2. Introduction to neural networks/14.1 Course Notes - Section 2.pdf.pdf

927.67KB

2. Introduction to neural networks/15. Graphical representation - Quiz.html

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2. Introduction to neural networks/16. The objective function.mp4

5.72MB

2. Introduction to neural networks/16. The objective function.vtt

1.82KB

2. Introduction to neural networks/16.1 Course Notes - Section 2.pdf.pdf

927.67KB

2. Introduction to neural networks/17. The objective function - Quiz.html

161B

2. Introduction to neural networks/18. L2-norm loss.mp4

7.27MB

2. Introduction to neural networks/18. L2-norm loss.vtt

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2. Introduction to neural networks/18.1 Course Notes - Section 2.pdf.pdf

927.67KB

2. Introduction to neural networks/19. L2-norm loss - Quiz.html

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2. Introduction to neural networks/2. Introduction to neural networks - Quiz.html

161B

2. Introduction to neural networks/20. Cross-entropy loss.mp4

11.36MB

2. Introduction to neural networks/20. Cross-entropy loss.vtt

4.62KB

2. Introduction to neural networks/20.1 Course Notes - Section 2.pdf.pdf

927.67KB

2. Introduction to neural networks/21. Cross-entropy loss - Quiz.html

161B

2. Introduction to neural networks/22. One parameter gradient descent.mp4

17.76MB

2. Introduction to neural networks/22. One parameter gradient descent.vtt

7.43KB

2. Introduction to neural networks/22.1 GD-function-example.xlsx.xlsx

42.33KB

2. Introduction to neural networks/22.2 Course Notes - Section 2.pdf.pdf

927.67KB

2. Introduction to neural networks/23. One parameter gradient descent - Quiz.html

161B

2. Introduction to neural networks/24. N-parameter gradient descent.mp4

39.46MB

2. Introduction to neural networks/24. N-parameter gradient descent.vtt

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2. Introduction to neural networks/24.1 Course Notes - Section 2.pdf.pdf

927.67KB

2. Introduction to neural networks/25. N-parameter gradient descent - Quiz.html

161B

2. Introduction to neural networks/3. Training the model.mp4

8.81MB

2. Introduction to neural networks/3. Training the model.vtt

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2. Introduction to neural networks/3.1 Course Notes - Section 2.pdf.pdf

927.67KB

2. Introduction to neural networks/4. Training the model - Quiz.html

161B

2. Introduction to neural networks/5. Types of machine learning.mp4

12.21MB

2. Introduction to neural networks/5. Types of machine learning.vtt

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2. Introduction to neural networks/5.1 Course Notes - Section 2.pdf.pdf

927.67KB

2. Introduction to neural networks/6. Types of machine learning - Quiz.html

161B

2. Introduction to neural networks/7. The linear model.mp4

9.13MB

2. Introduction to neural networks/7. The linear model.vtt

3.47KB

2. Introduction to neural networks/7.1 Course Notes - Section 2.pdf.pdf

927.67KB

2. Introduction to neural networks/8. The linear model - Quiz.html

161B

2. Introduction to neural networks/9. Need Help with Linear Algebra.html

829B

3. Setting up the working environment/1. Setting up the environment - An introduction - Do not skip, please!.mp4

2.62MB

3. Setting up the working environment/1. Setting up the environment - An introduction - Do not skip, please!.vtt

1.12KB

3. Setting up the working environment/10. Installing packages - exercise.html

227B

3. Setting up the working environment/11. Installing packages - solution.html

339B

3. Setting up the working environment/2. Why Python and why Jupyter.mp4

13.63MB

3. Setting up the working environment/2. Why Python and why Jupyter.vtt

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3. Setting up the working environment/3. Why Python and why Jupyter - Quiz.html

161B

3. Setting up the working environment/4. Installing Anaconda.mp4

9.39MB

3. Setting up the working environment/4. Installing Anaconda.vtt

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3. Setting up the working environment/5. The Jupyter dashboard - part 1.mp4

5.59MB

3. Setting up the working environment/5. The Jupyter dashboard - part 1.vtt

2.75KB

3. Setting up the working environment/6. The Jupyter dashboard - part 2.mp4

10.92MB

3. Setting up the working environment/6. The Jupyter dashboard - part 2.vtt

5.98KB

3. Setting up the working environment/7. Jupyter Shortcuts.html

332B

3. Setting up the working environment/7.1 Shortcuts for Jupyter.pdf.pdf

619.17KB

3. Setting up the working environment/8. The Jupyter dashboard - Quiz.html

161B

3. Setting up the working environment/9. Installing the TensorFlow package.mp4

4.86MB

3. Setting up the working environment/9. Installing the TensorFlow package.vtt

2.82KB

4. Minimal example - your first machine learning algorithm/1. Minimal example - part 1.mp4

6.54MB

4. Minimal example - your first machine learning algorithm/1. Minimal example - part 1.vtt

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4. Minimal example - your first machine learning algorithm/1.1 Minimal example Part 1.html

136B

4. Minimal example - your first machine learning algorithm/2. Minimal example - part 2.mp4

10.71MB

4. Minimal example - your first machine learning algorithm/2. Minimal example - part 2.vtt

5.92KB

4. Minimal example - your first machine learning algorithm/2.1 Minimal example - part 2.html

136B

4. Minimal example - your first machine learning algorithm/3. Minimal example - part 3.mp4

9.76MB

4. Minimal example - your first machine learning algorithm/3. Minimal example - part 3.vtt

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4. Minimal example - your first machine learning algorithm/3.1 Minimal example - part 3.html

136B

4. Minimal example - your first machine learning algorithm/4. Minimal example - part 4.mp4

20.8MB

4. Minimal example - your first machine learning algorithm/4. Minimal example - part 4.vtt

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4. Minimal example - your first machine learning algorithm/4.1 Minimal example - part 4.html

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4. Minimal example - your first machine learning algorithm/5. Minimal example - Exercises.html

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4. Minimal example - your first machine learning algorithm/5.1 Minimal_example_Exercise_2_Solution.html

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4. Minimal example - your first machine learning algorithm/5.10 Minimal_example_Exercise_6_Solution.html

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4. Minimal example - your first machine learning algorithm/5.2 Minimal_example_Exercise_3.d. Solution.html

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4. Minimal example - your first machine learning algorithm/5.3 Minimal_example_Exercise_4_Solution.html

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4. Minimal example - your first machine learning algorithm/5.4 Minimal_example_Exercise_3.b. Solution.html

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4. Minimal example - your first machine learning algorithm/5.5 Minimal_example_All_Exercises.html

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4. Minimal example - your first machine learning algorithm/5.6 Minimal_example_Exercise_1_Solution.html

149B

4. Minimal example - your first machine learning algorithm/5.7 Minimal_example_Exercise_3.c. Solution.html

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4. Minimal example - your first machine learning algorithm/5.8 Minimal_example_Exercise_5_Solution.html

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4. Minimal example - your first machine learning algorithm/5.9 Minimal_example_Exercise_3.a. Solution.html

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5. TensorFlow - An introduction/1. TensorFlow outline.mp4

14.47MB

5. TensorFlow - An introduction/1. TensorFlow outline.vtt

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5. TensorFlow - An introduction/2. TensorFlow intro.mp4

7.54MB

5. TensorFlow - An introduction/2. TensorFlow intro.vtt

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5. TensorFlow - An introduction/3. Types of file formats in TensorFlow.mp4

5.83MB

5. TensorFlow - An introduction/3. Types of file formats in TensorFlow.vtt

3KB

5. TensorFlow - An introduction/3.1 TensorFlow Minimal example - Part 1.html

154B

5. TensorFlow - An introduction/4. Inputs, outputs, targets, weights, biases - model layout.mp4

12.95MB

5. TensorFlow - An introduction/4. Inputs, outputs, targets, weights, biases - model layout.vtt

6.44KB

5. TensorFlow - An introduction/4.1 TensorFlow Minimal example - Part 2.html

154B

5. TensorFlow - An introduction/5. Loss function and gradient descent - introducing optimizers.mp4

9.7MB

5. TensorFlow - An introduction/5. Loss function and gradient descent - introducing optimizers.vtt

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5. TensorFlow - An introduction/5.1 TensorFlow Minimal example - Part 3.html

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5. TensorFlow - An introduction/6. Model output.mp4

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5. TensorFlow - An introduction/6. Model output.vtt

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5. TensorFlow - An introduction/6.1 TensorFlow - Minimal example complete.html

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5. TensorFlow - An introduction/7. Minimal example - Exercises.html

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5. TensorFlow - An introduction/7.1 TensorFlow_Minimal_Example_Exercise_1_Solution.html

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5. TensorFlow - An introduction/7.2 TensorFlow_Minimal_Example_Exercise_2_3_Solution.html

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5. TensorFlow - An introduction/7.3 TensorFlow_Minimal_Example_Exercise_2_1_Solution.html

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5. TensorFlow - An introduction/7.4 TensorFlow_Minimal_Example_All_Exercises.html

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5. TensorFlow - An introduction/7.5 TensorFlow_Minimal_Example_Exercise_3_Solution.html

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5. TensorFlow - An introduction/7.6 TensorFlow_Minimal_Example_Exercise_2_2_Solution.html

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5. TensorFlow - An introduction/7.7 TensorFlow_Minimal_Example_Exercise_4_Solution.html

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5. TensorFlow - An introduction/7.8 TensorFlow_Minimal_Example_Exercise_2_4_Solution.html

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6. Going deeper Introduction to deep neural networks/1. Layers.mp4

4.74MB

6. Going deeper Introduction to deep neural networks/1. Layers.vtt

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6. Going deeper Introduction to deep neural networks/1.1 Course Notes - Section 6.pdf.pdf

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6. Going deeper Introduction to deep neural networks/2. What is a deep net.mp4

6.72MB

6. Going deeper Introduction to deep neural networks/2. What is a deep net.vtt

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6. Going deeper Introduction to deep neural networks/2.1 Course Notes - Section 6.pdf.pdf

936.42KB

6. Going deeper Introduction to deep neural networks/3. Understanding deep nets in depth.mp4

13.41MB

6. Going deeper Introduction to deep neural networks/3. Understanding deep nets in depth.vtt

5.82KB

6. Going deeper Introduction to deep neural networks/4. Why do we need non-linearities.mp4

8.96MB

6. Going deeper Introduction to deep neural networks/4. Why do we need non-linearities.vtt

3.33KB

6. Going deeper Introduction to deep neural networks/5. Activation functions.mp4

8.74MB

6. Going deeper Introduction to deep neural networks/5. Activation functions.vtt

4.53KB

6. Going deeper Introduction to deep neural networks/6. Softmax activation.mp4

7.37MB

6. Going deeper Introduction to deep neural networks/6. Softmax activation.vtt

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6. Going deeper Introduction to deep neural networks/7. Backpropagation.mp4

11.06MB

6. Going deeper Introduction to deep neural networks/7. Backpropagation.vtt

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6. Going deeper Introduction to deep neural networks/8. Backpropagation - visual representation.mp4

6.85MB

6. Going deeper Introduction to deep neural networks/8. Backpropagation - visual representation.vtt

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7. Backpropagation. A peek into the Mathematics of Optimization/1. Backpropagation. A peek into the Mathematics of Optimization.html

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7. Backpropagation. A peek into the Mathematics of Optimization/1.1 Backpropagation-a-peek-into-the-Mathematics-of-Optimization.pdf.pdf

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8. Overfitting/1. Underfitting and overfitting.mp4

11.06MB

8. Overfitting/1. Underfitting and overfitting.vtt

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8. Overfitting/2. Underfitting and overfitting - classification.mp4

6.76MB

8. Overfitting/2. Underfitting and overfitting - classification.vtt

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8. Overfitting/3. Training and validation.mp4

9.24MB

8. Overfitting/3. Training and validation.vtt

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8. Overfitting/4. Training, validation, and test.mp4

7.44MB

8. Overfitting/4. Training, validation, and test.vtt

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8. Overfitting/5. N-fold cross validation.mp4

6.99MB

8. Overfitting/5. N-fold cross validation.vtt

3.7KB

8. Overfitting/6. Early stopping.mp4

9.43MB

8. Overfitting/6. Early stopping.vtt

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9. Initialization/1. Initialization - Introduction.mp4

8.04MB

9. Initialization/1. Initialization - Introduction.vtt

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9. Initialization/2. Types of simple initializations.mp4

5.62MB

9. Initialization/2. Types of simple initializations.vtt

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9. Initialization/3. Xavier initialization.mp4

5.82MB

9. Initialization/3. Xavier initialization.vtt

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[CourseClub.ME].url

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[FCS Forum].url

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