Course Content
1. Introduction
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1. Introduction.mp4
02:59
2. Neural Networks, Derivatives, Gradients, Chain Rule, and Gradient Descent
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13. Visualizing the Loss Function and Understanding Gradients.mp4
11:38
25. Coding our Simple Neural Network Part 5.mp4
05:22
24. Coding our Simple Neural Network Part 4.mp4
05:00
23. Coding our Simple Neural Network Part 3.mp4
06:31
22. Coding our Simple Neural Network Part 2.mp4
07:16
21. Coding our Simple Neural Network Part 1.mp4
04:23
20. Calculating Gradient Descent by Hand.mp4
08:47
19. Moving in the Opposite Direction of the Gradient.mp4
05:29
18. Understanding the Learning Rate (Alpha).mp4
08:10
17. Gradient Descent.mp4
06:07
16. Introduction to Gradient Descent Visually.mp4
10:07
15. Backpropagation of w1.mp4
04:28
14. Using the Chain Rule to See how w2 Affects the Final Loss.mp4
18:42
1. Introduction to Our Simple Neural Network.mp4
06:48
12. Gradient Derivation of Mean Squared Error Loss Function.mp4
07:36
11. (Optional) Chain Rule.mp4
07:32
10. Introduction to Backpropagation.mp4
05:00
9. Understanding What Partial Derivatives Dо.mp4
10:13
8. Gradients.mp4
03:52
7. Partial Derivatives.mp4
08:00
6. Numerical Example of Derivatives.mp4
13:39
5. Derivatives Theory.mp4
04:27
4. Roadmap to Understanding Backpropagation.mp4
02:47
3. Conducting the Forward Pass.mp4
06:55
2. Why We Use Computational Graphs.mp4
06:19
3. Implementing Our Advanced Neural Network by Hand + Python
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1. Introduction to Our Complex Neural Network.mp4
05:29
2. Conducting the Forward Pass.mp4
00:00
3. Getting Started with Backpropagation.mp4
04:51
4. Getting the Derivative of the Sigmoid Activation Function(Optional).mp4
07:42
5. Implementing Backpropagation with the Chain Rule.mp4
04:54
6. Understanding How w3 Affects the Final Loss.mp4
06:09
7. Calculating Gradients for Z1.mp4
07:42
8. Understanding How w1 and w2 Affect the Loss.mp4
04:52
9. Implementing Gradient Descent by Hand.mp4
08:28
10. Coding our Advanced Neural Network Part (Implementing Forward Pass + Loss).mp4
06:50
11. Coding our Advanced Neural Network Part 2 (Implement Backpropagation).mp4
10:10
12. Coding our Advanced Neural Network Part 3 (Implement Gradient Descent).mp4
05:34
13. Coding our Advanced Neural Network Part 4 (Training our Neural Network).mp4
08:14
Build a Simple Neural Network & Learn Backpropagation (Zerotomastery – Engsub)
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