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| [Tutorialsplanet.NET].url |
128б |
| 1. BONUS Sentiment Analysis.mp4 |
11.41Мб |
| 1. BONUS Sentiment Analysis.srt |
6.43Кб |
| 1. Define the model in 1-D, derive the solution (Updated Version).mp4 |
19.35Мб |
| 1. Define the model in 1-D, derive the solution (Updated Version).srt |
17.70Кб |
| 1. Define the multi-dimensional problem and derive the solution (Updated Version).mp4 |
14.44Мб |
| 1. Define the multi-dimensional problem and derive the solution (Updated Version).srt |
12.48Кб |
| 1. Facial Expression Recognition Project Introduction.mp4 |
9.82Мб |
| 1. Facial Expression Recognition Project Introduction.srt |
6.89Кб |
| 1. Gradient Descent Tutorial.mp4 |
22.82Мб |
| 1. Gradient Descent Tutorial.srt |
5.93Кб |
| 1. How to Succeed in this Course (Long Version).mp4 |
13.00Мб |
| 1. How to Succeed in this Course (Long Version).srt |
15.54Кб |
| 1. How to Uncompress a .tar.gz file.mp4 |
5.44Мб |
| 1. How to Uncompress a .tar.gz file.srt |
4.39Кб |
| 1. Introduction and Outline.mp4 |
14.03Мб |
| 1. Introduction and Outline.srt |
5.31Кб |
| 1. Practical Section Introduction.mp4 |
4.73Мб |
| 1. Practical Section Introduction.srt |
3.75Кб |
| 1. What is the Appendix.mp4 |
5.45Мб |
| 1. What is the Appendix.srt |
3.82Кб |
| 1. Windows-Focused Environment Setup 2018.mp4 |
186.28Мб |
| 1. Windows-Focused Environment Setup 2018.srt |
21.64Кб |
| 10. R-squared Quiz 1.mp4 |
2.80Мб |
| 10. R-squared Quiz 1.srt |
2.37Кб |
| 10. Why Divide by Square Root of D.mp4 |
23.49Мб |
| 10. Why Divide by Square Root of D.srt |
9.37Кб |
| 11. Practical Section Summary.mp4 |
3.41Мб |
| 11. Practical Section Summary.srt |
2.75Кб |
| 11. Suggestion Box.mp4 |
16.08Мб |
| 11. Suggestion Box.srt |
4.86Кб |
| 2. BONUS Exercises + how to get good at this.mp4 |
5.26Мб |
| 2. BONUS Exercises + how to get good at this.srt |
3.82Кб |
| 2. BONUS Where to get discount coupons and FREE deep learning material.mp4 |
37.83Мб |
| 2. BONUS Where to get discount coupons and FREE deep learning material.srt |
8.37Кб |
| 2. Define the model in 1-D, derive the solution.mp4 |
24.67Мб |
| 2. Define the model in 1-D, derive the solution.srt |
11.06Кб |
| 2. Define the multi-dimensional problem and derive the solution.mp4 |
60.30Мб |
| 2. Define the multi-dimensional problem and derive the solution.srt |
12.92Кб |
| 2. Facial Expression Recognition Problem Description.mp4 |
21.43Мб |
| 2. Facial Expression Recognition Problem Description.srt |
16.01Кб |
| 2. How to Code by Yourself (part 1).mp4 |
24.53Мб |
| 2. How to Code by Yourself (part 1).srt |
24.30Кб |
| 2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 |
43.92Мб |
| 2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt |
15.47Кб |
| 2. How to Succeed in this Course.mp4 |
27.95Мб |
| 2. How to Succeed in this Course.srt |
9.30Кб |
| 2. Interpreting the Weights.mp4 |
6.34Мб |
| 2. Interpreting the Weights.srt |
5.04Кб |
| 2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 |
38.96Мб |
| 2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt |
33.92Кб |
| 3. Coding the 1-D solution in Python.mp4 |
14.43Мб |
| 3. Coding the 1-D solution in Python.srt |
5.90Кб |
| 3. How to Code by Yourself (part 2).mp4 |
14.81Мб |
| 3. How to Code by Yourself (part 2).srt |
14.05Кб |
| 3. How to solve multiple linear regression using only matrices.mp4 |
3.09Мб |
| 3. How to solve multiple linear regression using only matrices.srt |
2.04Кб |
| 3. L2 Regularization - Theory.mp4 |
14.70Мб |
| 3. L2 Regularization - Theory.srt |
11.50Кб |
| 3. Statistics vs. Machine Learning.mp4 |
55.65Мб |
| 3. Statistics vs. Machine Learning.srt |
16.02Кб |
| 3. The class imbalance problem.mp4 |
10.12Мб |
| 3. The class imbalance problem.srt |
7.96Кб |
| 3. What order should I take your courses in (part 1).mp4 |
29.33Мб |
| 3. What order should I take your courses in (part 1).srt |
17.09Кб |
| 4. Coding the multi-dimensional solution in Python.mp4 |
14.91Мб |
| 4. Coding the multi-dimensional solution in Python.srt |
5.51Кб |
| 4. Exercise Theory vs. Code.mp4 |
1.05Мб |
| 4. Exercise Theory vs. Code.srt |
1.64Кб |
| 4. L2 Regularization - Code.mp4 |
4.46Мб |
| 4. L2 Regularization - Code.srt |
1.65Кб |
| 4. Proof that using Jupyter Notebook is the same as not using it.mp4 |
78.28Мб |
| 4. Proof that using Jupyter Notebook is the same as not using it.srt |
15.08Кб |
| 4. Review of the classification problem.mp4 |
2.97Мб |
| 4. Review of the classification problem.srt |
2.42Кб |
| 4. Utilities walkthrough.mp4 |
13.49Мб |
| 4. Utilities walkthrough.srt |
5.84Кб |
| 4. What order should I take your courses in (part 2).mp4 |
37.63Мб |
| 4. What order should I take your courses in (part 2).srt |
25.10Кб |
| 5. Determine how good the model is - r-squared.mp4 |
19.70Мб |
| 5. Determine how good the model is - r-squared.srt |
4.70Кб |
| 5. Facial Expression Recognition in Code.mp4 |
24.04Мб |
| 5. Facial Expression Recognition in Code.srt |
8.10Кб |
| 5. Introduction to the E-Commerce Course Project.mp4 |
14.79Мб |
| 5. Introduction to the E-Commerce Course Project.srt |
14.01Кб |
| 5. L1 Regularization - Theory.mp4 |
4.43Мб |
| 5. L1 Regularization - Theory.srt |
4.02Кб |
| 5. Polynomial regression - extending linear regression (with Python code).mp4 |
16.39Мб |
| 5. Polynomial regression - extending linear regression (with Python code).srt |
5.27Кб |
| 5. Python 2 vs Python 3.mp4 |
7.84Мб |
| 5. Python 2 vs Python 3.srt |
6.65Кб |
| 6. Easy first quiz.html |
152б |
| 6. Facial Expression Recognition Project Summary.mp4 |
2.92Мб |
| 6. Facial Expression Recognition Project Summary.srt |
1.74Кб |
| 6. L1 Regularization - Code.mp4 |
12.02Мб |
| 6. L1 Regularization - Code.srt |
4.95Кб |
| 6. Predicting Systolic Blood Pressure from Age and Weight.mp4 |
12.35Мб |
| 6. Predicting Systolic Blood Pressure from Age and Weight.srt |
5.48Кб |
| 6. R-squared in code.mp4 |
4.50Мб |
| 6. R-squared in code.srt |
1.84Кб |
| 7. Introduction to Moore's Law Problem.mp4 |
4.41Мб |
| 7. Introduction to Moore's Law Problem.srt |
3.74Кб |
| 7. L1 vs L2 Regularization.mp4 |
4.80Мб |
| 7. L1 vs L2 Regularization.srt |
4.40Кб |
| 7. R-squared Quiz 2.mp4 |
3.50Мб |
| 7. R-squared Quiz 2.srt |
2.89Кб |
| 8. Demonstrating Moore's Law in Code.mp4 |
17.50Мб |
| 8. Demonstrating Moore's Law in Code.srt |
6.92Кб |
| 8. The donut problem.mp4 |
24.69Мб |
| 8. The donut problem.srt |
7.35Кб |
| 9. Moore's Law Derivation.mp4 |
20.18Мб |
| 9. Moore's Law Derivation.srt |
8.12Кб |
| 9. The XOR problem.mp4 |
14.21Мб |
| 9. The XOR problem.srt |
6.09Кб |