GITHUB FASTBOOK

0. Jupyter Notebook 101

1. Your Deep Learning Journey

2. From Model to Production

3. Data Ethics

4. Under the Hood: Training a Digit Classifier

5. Image Classification

6. Other Computer Vision Problems

7. Training a State-of-the-Art Model

8. Collaborative Filtering Deep Dive

9. Tabular Modeling Deep Dive

10. NLP Deep Dive: RNNs

11. Data Munging with fastai's Mid-Level API

12. A Language Model from Scratch

13. Convolutional Neural Networks

14. ResNets

15. Application Architectures Deep Dive

16. The Training Process

17. A Neural Net from the Foundations

18. CNN Interpretation with CAM

19. A fastai Learner from Scratch

20. Concluding Thoughts

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