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[FreeCourseSite.com] Udemy - Deep Learning with TensorFlow 2.0 [2020]
大小 1.88 GB
文件数 301
Info Hash: 334FA189B284C3DA30886FB15EF4C4C8890535C7
收录时间 2025-12-30 05:02:16
更新时间 2025-12-30 05:02:16
文件列表 (301)
0. Websites you may like/[CourseClub.ME].url
122 B
0. Websites you may like/[FCS Forum].url
133 B
0. Websites you may like/[FreeCourseSite.com].url
127 B
1. Welcome! Course introduction/1. Meet your instructors and why you should study machine learning.mp4
105.78 MB
1. Welcome! Course introduction/1. Meet your instructors and why you should study machine learning.srt
10.13 KB
1. Welcome! Course introduction/2. What does the course cover.mp4
16.35 MB
1. Welcome! Course introduction/2. What does the course cover.srt
6.21 KB
1. Welcome! Course introduction/3. What does the course cover - Quiz.html
168 B
1. Welcome! Course introduction/4. Download All Resources and Important FAQ.html
720 B
10. Gradient descent and learning rates/1. Stochastic gradient descent.mp4
9.38 MB
10. Gradient descent and learning rates/1. Stochastic gradient descent.srt
4.88 KB
10. Gradient descent and learning rates/2. Gradient descent pitfalls.mp4
4.31 MB
10. Gradient descent and learning rates/2. Gradient descent pitfalls.srt
2.83 KB
10. Gradient descent and learning rates/3. Momentum.mp4
6.11 MB
10. Gradient descent and learning rates/3. Momentum.srt
3.53 KB
10. Gradient descent and learning rates/4. Learning rate schedules.mp4
10.31 MB
10. Gradient descent and learning rates/4. Learning rate schedules.srt
5.99 KB
10. Gradient descent and learning rates/5. Learning rate schedules. A picture.mp4
3.14 MB
10. Gradient descent and learning rates/5. Learning rate schedules. A picture.srt
2.16 KB
10. Gradient descent and learning rates/6. Adaptive learning rate schedules.mp4
8.86 MB
10. Gradient descent and learning rates/6. Adaptive learning rate schedules.srt
5.21 KB
10. Gradient descent and learning rates/7. Adaptive moment estimation.mp4
7.78 MB
10. Gradient descent and learning rates/7. Adaptive moment estimation.srt
3.34 KB
11. Preprocessing/1. Preprocessing introduction.mp4
8.42 MB
11. Preprocessing/1. Preprocessing introduction.srt
3.85 KB
11. Preprocessing/2. Basic preprocessing.mp4
3.65 MB
11. Preprocessing/2. Basic preprocessing.srt
1.67 KB
11. Preprocessing/3. Standardization.mp4
8.32 MB
11. Preprocessing/3. Standardization.srt
5.97 KB
11. Preprocessing/4. Dealing with categorical data.mp4
6.07 MB
11. Preprocessing/4. Dealing with categorical data.srt
2.78 KB
11. Preprocessing/5. One-hot and binary encoding.mp4
6.24 MB
11. Preprocessing/5. One-hot and binary encoding.srt
4.77 KB
12. The MNIST example/1. The dataset.mp4
13.37 MB
12. The MNIST example/1. The dataset.srt
3.58 KB
12. The MNIST example/10. Learning.mp4
40.95 MB
12. The MNIST example/10. Learning.srt
7.94 KB
12. The MNIST example/10.1 TensorFlow MNIST - Part 6 with comments.html
150 B
12. The MNIST example/11. MNIST - exercises.html
1.98 KB
12. The MNIST example/11.1 TensorFlow MNIST - All Exercises.html
144 B
12. The MNIST example/12. MNIST - solutions.html
2.13 KB
12. The MNIST example/12.1 8. TensorFlow MNIST - Exercise 8 Solution.html
165 B
12. The MNIST example/12.10 4. TensorFlow MNIST - Exercise 4 Solution.html
172 B
12. The MNIST example/12.2 9. TensorFlow MNIST - Exercise 9 Solution.html
165 B
12. The MNIST example/12.3 1. TensorFlow MNIST - Exercise 1 Solution.html
150 B
12. The MNIST example/12.4 3. TensorFlow MNIST - Exercise 3 Solution.html
160 B
12. The MNIST example/12.5 7. TensorFlow MNIST - Exercise 7 Solution.html
162 B
12. The MNIST example/12.6 2. TensorFlow MNIST - Exercise 2 Solution.html
150 B
12. The MNIST example/12.7 6. TensorFlow MNIST - Exercise 6 Solution.html
162 B
12. The MNIST example/12.8 10. TensorFlow MNIST - Exercise 10 Solution.html
157 B
12. The MNIST example/12.9 5. TensorFlow MNIST - Exercise 5 Solution.html
172 B
12. The MNIST example/13. Testing the model.mp4
29.54 MB
12. The MNIST example/13. Testing the model.srt
6.02 KB
12. The MNIST example/13.1 TensorFlow MNIST - Complete Code.html
139 B
12. The MNIST example/13.2 TensorFlow MNIST - Complete Code with Comments.html
153 B
12. The MNIST example/2. How to tackle the MNIST.mp4
18.67 MB
12. The MNIST example/2. How to tackle the MNIST.srt
3.52 KB
12. The MNIST example/3. Importing the relevant packages and load the data.mp4
16.32 MB
12. The MNIST example/3. Importing the relevant packages and load the data.srt
3.07 KB
12. The MNIST example/3.1 TensorFlow MNIST - Part 1 with comments.html
150 B
12. The MNIST example/4. Preprocess the data - create a validation dataset and scale the data.mp4
29.05 MB
12. The MNIST example/4. Preprocess the data - create a validation dataset and scale the data.srt
6.27 KB
12. The MNIST example/5. Preprocess the data - scale the test data.html
81 B
12. The MNIST example/5.1 TensorFlow MNIST - Part 2 with comments.html
150 B
12. The MNIST example/6. Preprocess the data - shuffle and batch the data.mp4
41.54 MB
12. The MNIST example/6. Preprocess the data - shuffle and batch the data.srt
9.26 KB
12. The MNIST example/7. Preprocess the data - shuffle and batch the data.html
81 B
12. The MNIST example/7.1 TensorFlow MNIST - Part 3 with comments.html
150 B
12. The MNIST example/8. Outline the model.mp4
28.24 MB
12. The MNIST example/8. Outline the model.srt
7.2 KB
12. The MNIST example/8.1 TensorFlow MNIST - Part 4 with comments.html
150 B
12. The MNIST example/9. Select the loss and the optimizer.mp4
13.89 MB
12. The MNIST example/9. Select the loss and the optimizer.srt
3.02 KB
12. The MNIST example/9.1 TensorFlow MNIST - Part 5 with comments.html
150 B
13. Business case/1. Exploring the dataset and identifying predictors.mp4
66.26 MB
13. Business case/1. Exploring the dataset and identifying predictors.srt
10.66 KB
13. Business case/1.1 Audiobooks_data.csv
625.21 KB
13. Business case/10. Setting an early stopping mechanism - Exercise.html
191 B
13. Business case/11. Testing the model.mp4
10.8 MB
13. Business case/11. Testing the model.srt
2.04 KB
13. Business case/11.1 TensorFlow Business Case - Machine Learning Complete Code with Comments.html
166 B
13. Business case/12. Final exercise.html
445 B
13. Business case/12.1 TensorFlow Business Case - Machine Learning Complete Code with Comments.html
166 B
13. Business case/2. Outlining the business case solution.mp4
7.32 MB
13. Business case/2. Outlining the business case solution.srt
2 KB
13. Business case/3. Balancing the dataset.mp4
30.45 MB
13. Business case/3. Balancing the dataset.srt
4.5 KB
13. Business case/4. Preprocessing the data.mp4
84.29 MB
13. Business case/4. Preprocessing the data.srt
12.3 KB
13. Business case/4.1 TensorFlow Business Case - Preprocessing with Comments.html
163 B
13. Business case/4.2 Audiobooks_data.csv
625.21 KB
13. Business case/4.3 TensorFlow Business Case - Preprocessing.html
149 B
13. Business case/5. Preprocessing exercise.html
404 B
13. Business case/5.1 TensorFlow Business Case - Preprocessing Exercise Solution.html
167 B
13. Business case/5.2 Audiobooks_data.csv
625.21 KB
13. Business case/5.3 TensorFlow Business Case - Preprocessing Exercise.html
158 B
13. Business case/6. Load the preprocessed data.mp4
17.56 MB
13. Business case/6. Load the preprocessed data.srt
4.7 KB
13. Business case/7. Load the preprocessed data - Exercise.html
79 B
13. Business case/7.1 TensorFlow Business Case - Machine Learning - Part 1.html
172 B
13. Business case/8. Learning and interpreting the result.mp4
31.16 MB
13. Business case/8. Learning and interpreting the result.srt
6.27 KB
13. Business case/8.1 TensorFlow Business Case - Machine Learning - Part 2.html
172 B
13. Business case/9. Setting an early stopping mechanism.mp4
49.81 MB
13. Business case/9. Setting an early stopping mechanism.srt
7.82 KB
13. Business case/9.1 TensorFlow Business Case - Machine Learning - Part 3.html
172 B
14. Appendix Linear Algebra Fundamentals/1. What is a Matrix.mp4
33.59 MB
14. Appendix Linear Algebra Fundamentals/1. What is a Matrix.srt
4.34 KB
14. Appendix Linear Algebra Fundamentals/10. Dot Product of Matrices.mp4
49.38 MB
14. Appendix Linear Algebra Fundamentals/10. Dot Product of Matrices.srt
9.52 KB
14. Appendix Linear Algebra Fundamentals/10.1 Dot Product of Matrices Python Notebook.html
171 B
14. Appendix Linear Algebra Fundamentals/11. Why is Linear Algebra Useful.mp4
144.33 MB
14. Appendix Linear Algebra Fundamentals/11. Why is Linear Algebra Useful.srt
11.79 KB
14. Appendix Linear Algebra Fundamentals/2. Scalars and Vectors.mp4
33.84 MB
14. Appendix Linear Algebra Fundamentals/2. Scalars and Vectors.srt
3.78 KB
14. Appendix Linear Algebra Fundamentals/3. Linear Algebra and Geometry.mp4
49.79 MB
14. Appendix Linear Algebra Fundamentals/3. Linear Algebra and Geometry.srt
4.09 KB
14. Appendix Linear Algebra Fundamentals/4. Scalars, Vectors and Matrices in Python.mp4
26.66 MB
14. Appendix Linear Algebra Fundamentals/4. Scalars, Vectors and Matrices in Python.srt
6.13 KB
14. Appendix Linear Algebra Fundamentals/4.1 Scalars, Vectors and Matrices Python Notebook.html
181 B
14. Appendix Linear Algebra Fundamentals/5. Tensors.mp4
22.51 MB
14. Appendix Linear Algebra Fundamentals/5. Tensors.srt
3.61 KB
14. Appendix Linear Algebra Fundamentals/5.1 Tensors Notebook.html
148 B
14. Appendix Linear Algebra Fundamentals/6. Addition and Subtraction of Matrices.mp4
32.6 MB
14. Appendix Linear Algebra Fundamentals/6. Addition and Subtraction of Matrices.srt
4.04 KB
14. Appendix Linear Algebra Fundamentals/6.1 Addition and Subtraction Python Notebook.html
178 B
14. Appendix Linear Algebra Fundamentals/7. Errors when Adding Matrices.mp4
11.16 MB
14. Appendix Linear Algebra Fundamentals/7. Errors when Adding Matrices.srt
2.57 KB
14. Appendix Linear Algebra Fundamentals/7.1 Errors when Adding Matrices Python Notebook.html
220 B
14. Appendix Linear Algebra Fundamentals/8. Transpose of a Matrix.mp4
38.08 MB
14. Appendix Linear Algebra Fundamentals/8. Transpose of a Matrix.srt
5.37 KB
14. Appendix Linear Algebra Fundamentals/8.1 Transpose of a Matrix Python Notebook.html
167 B
14. Appendix Linear Algebra Fundamentals/9. Dot Product of Vectors.mp4
23.98 MB
14. Appendix Linear Algebra Fundamentals/9. Dot Product of Vectors.srt
4.26 KB
14. Appendix Linear Algebra Fundamentals/9.1 Dot Product Python Notebook.html
154 B
15. Conclusion/1. See how much you have learned.mp4
13.95 MB
15. Conclusion/1. See how much you have learned.srt
5.21 KB
15. Conclusion/2. What’s further out there in the machine and deep learning world.mp4
6.26 MB
15. Conclusion/2. What’s further out there in the machine and deep learning world.srt
2.55 KB
15. Conclusion/3. An overview of CNNs.mp4
10.92 MB
15. Conclusion/3. An overview of CNNs.srt
6.47 KB
15. Conclusion/4. How DeepMind uses deep learning.html
1.36 KB
15. Conclusion/5. An overview of RNNs.mp4
4.86 MB
15. Conclusion/5. An overview of RNNs.srt
3.62 KB
15. Conclusion/6. An overview of non-NN approaches.mp4
7.85 MB
15. Conclusion/6. An overview of non-NN approaches.srt
5.15 KB
16. Bonus lecture/1. Bonus lecture Next steps.html
2.51 KB
2. Introduction to neural networks/1. Introduction to neural networks.mp4
13.55 MB
2. Introduction to neural networks/1. Introduction to neural networks.srt
5.93 KB
2. Introduction to neural networks/1.1 Course Notes - Section 2.pdf
927.67 KB
2. Introduction to neural networks/10. The linear model. Multiple inputs.mp4
7.49 MB
2. Introduction to neural networks/10. The linear model. Multiple inputs.srt
3.1 KB
2. Introduction to neural networks/10.1 Course Notes - Section 2.pdf
927.67 KB
2. Introduction to neural networks/11. The linear model. Multiple inputs - Quiz.html
168 B
2. Introduction to neural networks/12. The linear model. Multiple inputs and multiple outputs.mp4
38.28 MB
2. Introduction to neural networks/12. The linear model. Multiple inputs and multiple outputs.srt
5.46 KB
2. Introduction to neural networks/12.1 Course Notes - Section 2.pdf
927.67 KB
2. Introduction to neural networks/13. The linear model. Multiple inputs and multiple outputs - Quiz.html
168 B
2. Introduction to neural networks/14. Graphical representation.mp4
6.34 MB
2. Introduction to neural networks/14. Graphical representation.srt
2.69 KB
2. Introduction to neural networks/14.1 Course Notes - Section 2.pdf
927.67 KB
2. Introduction to neural networks/15. Graphical representation - Quiz.html
168 B
2. Introduction to neural networks/16. The objective function.mp4
5.72 MB
2. Introduction to neural networks/16. The objective function.srt
2.04 KB
2. Introduction to neural networks/16.1 Course Notes - Section 2.pdf
927.67 KB
2. Introduction to neural networks/17. The objective function - Quiz.html
168 B
2. Introduction to neural networks/18. L2-norm loss.mp4
7.26 MB
2. Introduction to neural networks/18. L2-norm loss.srt
2.8 KB
2. Introduction to neural networks/18.1 Course Notes - Section 2.pdf
927.67 KB
2. Introduction to neural networks/19. L2-norm loss - Quiz.html
168 B
2. Introduction to neural networks/2. Introduction to neural networks - Quiz.html
168 B
2. Introduction to neural networks/20. Cross-entropy loss.mp4
11.35 MB
2. Introduction to neural networks/20. Cross-entropy loss.srt
5.33 KB
2. Introduction to neural networks/20.1 Course Notes - Section 2.pdf
927.67 KB
2. Introduction to neural networks/21. Cross-entropy loss - Quiz.html
168 B
2. Introduction to neural networks/22. One parameter gradient descent.mp4
17.76 MB
2. Introduction to neural networks/22. One parameter gradient descent.srt
8.47 KB
2. Introduction to neural networks/22.1 Course Notes - Section 2.pdf
927.67 KB
2. Introduction to neural networks/22.2 GD-function-example.xlsx
42.33 KB
2. Introduction to neural networks/23. One parameter gradient descent - Quiz.html
168 B
2. Introduction to neural networks/24. N-parameter gradient descent.mp4
39.45 MB
2. Introduction to neural networks/24. N-parameter gradient descent.srt
7.53 KB
2. Introduction to neural networks/24.1 Course Notes - Section 2.pdf
927.67 KB
2. Introduction to neural networks/25. N-parameter gradient descent - Quiz.html
168 B
2. Introduction to neural networks/3. Training the model.mp4
8.81 MB
2. Introduction to neural networks/3. Training the model.srt
4.31 KB
2. Introduction to neural networks/3.1 Course Notes - Section 2.pdf
927.67 KB
2. Introduction to neural networks/4. Training the model - Quiz.html
168 B
2. Introduction to neural networks/5. Types of machine learning.mp4
12.2 MB
2. Introduction to neural networks/5. Types of machine learning.srt
5.27 KB
2. Introduction to neural networks/5.1 Course Notes - Section 2.pdf
927.67 KB
2. Introduction to neural networks/6. Types of machine learning - Quiz.html
168 B
2. Introduction to neural networks/7. The linear model.mp4
9.12 MB
2. Introduction to neural networks/7. The linear model.srt
3.93 KB
2. Introduction to neural networks/7.1 Course Notes - Section 2.pdf
927.67 KB
2. Introduction to neural networks/8. The linear model - Quiz.html
168 B
2. Introduction to neural networks/9. Need Help with Linear Algebra.html
829 B
3. Setting up the working environment/1. Setting up the environment - An introduction - Do not skip, please!.mp4
5.95 MB
3. Setting up the working environment/1. Setting up the environment - An introduction - Do not skip, please!.srt
1.38 KB
3. Setting up the working environment/10. Installing packages - exercise.html
198 B
3. Setting up the working environment/11. Installing packages - solution.html
267 B
3. Setting up the working environment/2. Why Python and why Jupyter.mp4
32.06 MB
3. Setting up the working environment/2. Why Python and why Jupyter.srt
6.31 KB
3. Setting up the working environment/3. Why Python and why Jupyter - Quiz.html
168 B
3. Setting up the working environment/4. Installing Anaconda.mp4
28.38 MB
3. Setting up the working environment/4. Installing Anaconda.srt
4.58 KB
3. Setting up the working environment/5. The Jupyter dashboard - part 1.mp4
8.7 MB
3. Setting up the working environment/5. The Jupyter dashboard - part 1.srt
3.15 KB
3. Setting up the working environment/6. The Jupyter dashboard - part 2.mp4
18.8 MB
3. Setting up the working environment/6. The Jupyter dashboard - part 2.srt
6.78 KB
3. Setting up the working environment/7. Jupyter Shortcuts.html
332 B
3. Setting up the working environment/7.1 Shortcuts for Jupyter.pdf
619.17 KB
3. Setting up the working environment/8. The Jupyter dashboard - Quiz.html
168 B
3. Setting up the working environment/9. Installing TensorFlow 2.mp4
38.72 MB
3. Setting up the working environment/9. Installing TensorFlow 2.srt
6.38 KB
4. Minimal example - your first machine learning algorithm/1. Minimal example - part 1.mp4
6.54 MB
4. Minimal example - your first machine learning algorithm/1. Minimal example - part 1.srt
4.51 KB
4. Minimal example - your first machine learning algorithm/1.1 Minimal example Part 1.html
136 B
4. Minimal example - your first machine learning algorithm/2. Minimal example - part 2.mp4
10.7 MB
4. Minimal example - your first machine learning algorithm/2. Minimal example - part 2.srt
6.84 KB
4. Minimal example - your first machine learning algorithm/2.1 Minimal example - part 2.html
136 B
4. Minimal example - your first machine learning algorithm/3. Minimal example - part 3.mp4
9.76 MB
4. Minimal example - your first machine learning algorithm/3. Minimal example - part 3.srt
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4. Minimal example - your first machine learning algorithm/3.1 Minimal example - part 3.html
136 B
4. Minimal example - your first machine learning algorithm/4. Minimal example - part 4.mp4
20.8 MB
4. Minimal example - your first machine learning algorithm/4. Minimal example - part 4.srt
10.86 KB
4. Minimal example - your first machine learning algorithm/4.1 Minimal example - part 4.html
145 B
4. Minimal example - your first machine learning algorithm/5. Minimal example - Exercises.html
1.57 KB
4. Minimal example - your first machine learning algorithm/5.1 Minimal_example_Exercise_2_Solution.html
149 B
4. Minimal example - your first machine learning algorithm/5.10 Minimal_example_Exercise_3.a. Solution.html
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4. Minimal example - your first machine learning algorithm/5.2 Minimal_example_All_Exercises.html
143 B
4. Minimal example - your first machine learning algorithm/5.3 Minimal_example_Exercise_6_Solution.html
149 B
4. Minimal example - your first machine learning algorithm/5.4 Minimal_example_Exercise_1_Solution.html
149 B
4. Minimal example - your first machine learning algorithm/5.5 Minimal_example_Exercise_4_Solution.html
149 B
4. Minimal example - your first machine learning algorithm/5.6 Minimal_example_Exercise_3.c. Solution.html
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4. Minimal example - your first machine learning algorithm/5.7 Minimal_example_Exercise_3.b. Solution.html
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4. Minimal example - your first machine learning algorithm/5.8 Minimal_example_Exercise_3.d. Solution.html
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4. Minimal example - your first machine learning algorithm/5.9 Minimal_example_Exercise_5_Solution.html
149 B
5. TensorFlow - An introduction/1. TensorFlow outline.mp4
33.53 MB
5. TensorFlow - An introduction/1. TensorFlow outline.srt
5.24 KB
5. TensorFlow - An introduction/2. TensorFlow 2 intro.mp4
21.98 MB
5. TensorFlow - An introduction/2. TensorFlow 2 intro.srt
3.63 KB
5. TensorFlow - An introduction/3. A Note on Coding in TensorFlow.mp4
6.77 MB
5. TensorFlow - An introduction/3. A Note on Coding in TensorFlow.srt
1.36 KB
5. TensorFlow - An introduction/4. Types of file formats in TensorFlow and data handling.mp4
16.41 MB
5. TensorFlow - An introduction/4. Types of file formats in TensorFlow and data handling.srt
3.5 KB
5. TensorFlow - An introduction/4.1 TensorFlow Minimal Example - Part 1.html
146 B
5. TensorFlow - An introduction/5. Model layout - inputs, outputs, targets, weights, biases, optimizer and loss.mp4
34.69 MB
5. TensorFlow - An introduction/5. Model layout - inputs, outputs, targets, weights, biases, optimizer and loss.srt
7.83 KB
5. TensorFlow - An introduction/5.1 TensorFlow Minimal Example - Part 2.html
146 B
5. TensorFlow - An introduction/6. Interpreting the result and extracting the weights and bias.mp4
30.26 MB
5. TensorFlow - An introduction/6. Interpreting the result and extracting the weights and bias.srt
6.2 KB
5. TensorFlow - An introduction/6.1 TensorFlow Minimal Example - Part 3.html
146 B
5. TensorFlow - An introduction/7. Cutomizing your model.mp4
22.91 MB
5. TensorFlow - An introduction/7. Cutomizing your model.srt
4.11 KB
5. TensorFlow - An introduction/7.1 TensorFlow Minimal Example - Complete Code with Comments.html
163 B
5. TensorFlow - An introduction/7.2 TensorFlow Minimal Example - Complete Code.html
149 B
5. TensorFlow - An introduction/8. Minimal example with TensorFlow - Exercises.html
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5. TensorFlow - An introduction/8.1 TensorFlow Minimal Example - Exercise 2_2 - Solution.html
162 B
5. TensorFlow - An introduction/8.2 TensorFlow Minimal Example - All Exercises.html
154 B
5. TensorFlow - An introduction/8.3 TensorFlow Minimal Example - Exercise 1 - Solution.html
160 B
5. TensorFlow - An introduction/8.4 TensorFlow Minimal Example - Exercise 2_1 - Solution.html
162 B
5. TensorFlow - An introduction/8.5 TensorFlow Minimal Example - Exercise 3 - Solution.html
160 B
6. Going deeper Introduction to deep neural networks/1. Layers.mp4
4.73 MB
6. Going deeper Introduction to deep neural networks/1. Layers.srt
2.43 KB
6. Going deeper Introduction to deep neural networks/1.1 Course Notes - Section 6.pdf
936.42 KB
6. Going deeper Introduction to deep neural networks/2. What is a deep net.mp4
6.72 MB
6. Going deeper Introduction to deep neural networks/2. What is a deep net.srt
3.28 KB
6. Going deeper Introduction to deep neural networks/2.1 Course Notes - Section 6.pdf
936.42 KB
6. Going deeper Introduction to deep neural networks/3. Understanding deep nets in depth.mp4
13.4 MB
6. Going deeper Introduction to deep neural networks/3. Understanding deep nets in depth.srt
6.66 KB
6. Going deeper Introduction to deep neural networks/4. Why do we need non-linearities.mp4
8.96 MB
6. Going deeper Introduction to deep neural networks/4. Why do we need non-linearities.srt
3.81 KB
6. Going deeper Introduction to deep neural networks/5. Activation functions.mp4
8.73 MB
6. Going deeper Introduction to deep neural networks/5. Activation functions.srt
5.18 KB
6. Going deeper Introduction to deep neural networks/6. Softmax activation.mp4
7.38 MB
6. Going deeper Introduction to deep neural networks/6. Softmax activation.srt
4.32 KB
6. Going deeper Introduction to deep neural networks/7. Backpropagation.mp4
11.06 MB
6. Going deeper Introduction to deep neural networks/7. Backpropagation.srt
4.39 KB
6. Going deeper Introduction to deep neural networks/8. Backpropagation - visual representation.mp4
6.84 MB
6. Going deeper Introduction to deep neural networks/8. Backpropagation - visual representation.srt
4.01 KB
7. Backpropagation. A peek into the Mathematics of Optimization/1. Backpropagation. A peek into the Mathematics of Optimization.html
528 B
7. Backpropagation. A peek into the Mathematics of Optimization/1.1 Backpropagation-a-peek-into-the-Mathematics-of-Optimization.pdf
182.38 KB
8. Overfitting/1. Underfitting and overfitting.mp4
11.06 MB
8. Overfitting/1. Underfitting and overfitting.srt
5.62 KB
8. Overfitting/2. Underfitting and overfitting - classification.mp4
6.76 MB
8. Overfitting/2. Underfitting and overfitting - classification.srt
2.7 KB
8. Overfitting/3. Training and validation.mp4
9.23 MB
8. Overfitting/3. Training and validation.srt
4.86 KB
8. Overfitting/4. Training, validation, and test.mp4
7.45 MB
8. Overfitting/4. Training, validation, and test.srt
3.56 KB
8. Overfitting/5. N-fold cross validation.mp4
6.99 MB
8. Overfitting/5. N-fold cross validation.srt
4.22 KB
8. Overfitting/6. Early stopping.mp4
9.43 MB
8. Overfitting/6. Early stopping.srt
6.86 KB
9. Initialization/1. Initialization - Introduction.mp4
8.03 MB
9. Initialization/1. Initialization - Introduction.srt
3.54 KB
9. Initialization/2. Types of simple initializations.mp4
5.61 MB
9. Initialization/2. Types of simple initializations.srt
3.67 KB
9. Initialization/3. Xavier initialization.mp4
5.82 MB
9. Initialization/3. Xavier initialization.srt
3.71 KB
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