Section 1
1. An Introduction to Deep Learning
16:39 (Preview)
2. What are Deep Neural Networks?
26:15
3. Coding Neurons from Scratch 📂
37:55
4. Bonus Example on Backpropagation 📂
10:25
5. Introducing PyTorch 📂
45:58
6. Develop with Lightning 📂
19:52
7. Activations and Loss Functions 📂
32:49
8. The Training Loop 📂
15:33
9. DNNs in the Wild for Drug Discovery 📂
35:46
10. DNNs in the Wild for Classification 📂
32:16
11. Conclusion, Certificate, and What Next?
04:52
7. Activations and Loss Functions
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8. The Training Loop