1. 10 New Things I Learnt from fast.ai v3
2. 2019 deep learning course Practical Deep Learning for Coders, v3.

10 learning points as such:

1. The Universal Approximation Theorem
2. Neural Networks: Design & Architecture
3. Understanding the Loss Landscape
4. Gradient Descent Optimisers
5. Loss Functions
6. Training
7. Regularisation
8. Tasks
9. Model Interpretability
10. Appendix: Jeremy Howard on Model Complexity & Regularisation

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https://towardsdatascience.com/10-new-things-i-learnt-from-fast-ai-v3-4d79c1f07e33