Name                                                                                 Size  
 Parent Directory                                                                       -   
 8. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4       291M  
 6. [Python] - Loops and the Gradient Descent Algorithm.mp4                           287M  
 10. Understanding the Learning Rate.mp4                                              237M  
 9. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4                   219M  
 11. How to Create 3-Dimensional Charts.mp4                                           193M  
 15. Reshaping and Slicing N-Dimensional Arrays.mp4                                   141M  
 12. Understanding Partial Derivatives and How to use SymPy.mp4                       133M  
 14. [Python] - Loops and Performance Considerations.mp4                              131M  
 21. Plotting the Mean Squared Error (MSE) on a Surface (Part 2).mp4                  125M  
 22. Running Gradient Descent with a MSE Cost Function.mp4                            111M  
 4. LaTeX Markdown and Generating Data with Numpy.mp4                                  91M  
 5. Understanding the Power Rule & Creating Charts with Subplots.mp4                   90M  
 18. Transposing and Reshaping Arrays.mp4                                              87M  
 13. Implementing Batch Gradient Descent with SymPy.mp4                                87M  
 19. Implementing a MSE Cost Function.mp4                                              81M  
 23. Visualising the Optimisation on a 3D Surface.mp4                                  75M  
 20. Understanding Nested Loops and Plotting the MSE Function (Part 1).mp4             73M  
 16. Concatenating Numpy Arrays.mp4                                                    71M  
 3. Introduction to Cost Functions.mp4                                                 66M  
 17. Introduction to the Mean Squared Error (MSE).mp4                                  65M  
 2. How a Machine Learns.mp4                                                           23M  
 1. What's Coming Up.mp4                                                               21M  
 24.1 03 Gradient Descent.ipynb.zip                                                   1.1M  
 6. [Python] - Loops and the Gradient Descent Algorithm.srt                            44K  
 8. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).srt        43K  
 10. Understanding the Learning Rate.srt                                               38K  
 9. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).srt                    34K  
 11. How to Create 3-Dimensional Charts.srt                                            26K  
 15. Reshaping and Slicing N-Dimensional Arrays.srt                                    23K  
 22. Running Gradient Descent with a MSE Cost Function.srt                             22K  
 12. Understanding Partial Derivatives and How to use SymPy.srt                        20K  
 5. Understanding the Power Rule & Creating Charts with Subplots.srt                   18K  
 14. [Python] - Loops and Performance Considerations.srt                               18K  
 21. Plotting the Mean Squared Error (MSE) on a Surface (Part 2).srt                   17K  
 4. LaTeX Markdown and Generating Data with Numpy.srt                                  17K  
 20. Understanding Nested Loops and Plotting the MSE Function (Part 1).srt             14K  
 19. Implementing a MSE Cost Function.srt                                              14K  
 18. Transposing and Reshaping Arrays.srt                                              14K  
 13. Implementing Batch Gradient Descent with SymPy.srt                                13K  
 17. Introduction to the Mean Squared Error (MSE).srt                                  13K  
 23. Visualising the Optimisation on a 3D Surface.srt                                  11K  
 3. Introduction to Cost Functions.srt                                                9.5K  
 16. Concatenating Numpy Arrays.srt                                                   8.9K  
 2. How a Machine Learns.srt                                                          7.2K  
 1. What's Coming Up.srt                                                              3.8K  
 25. Any Feedback on this Section.html                                                520   
 24. Download the Complete Notebook Here.html                                         242   
 7. Python Loops Coding Exercise.html                                                 156   
 1.1 Course Resources.html                                                            122