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