FastAI Course Notebooks

Practical Deep Learning for Coders

Chapters

  1. Introduction
  2. Production
  3. Ethics
  4. MNIST Basics
  5. Pet Breeds
  6. Multi-Category
  7. Sizing and TTA
  8. Collaborative Filtering
  9. Tabular
  10. NLP
  11. Mid-level Data
  12. NLP Dive
  13. Convolutions
  14. ResNet
  15. Architecture Details
  16. Accelerated SGD
  17. Foundations
  18. CAM
  19. Learner
  20. Conclusion

Appendices