Lesson1-Part5

Video

Objectives

  1. Tabular and Collaborative Filtering
  2. Jupyter Notebook in Fast.ai
  3. Applications of Deep Learning
  4. History and Basics of Machine Learning
  5. General Guidelines

Highlights

Following were the highlight’s:

  1. Remaking Fastai Course Practical Deep Learning 2022  Original Course
  2. Lesson 1 Smaller Version – This one is Part 5 of lesson
  3. Useful Links (link no. 15 to 20) and notes are provided in google drive (link no. 1 in Resource Section also in description)

Readings

So If you finished watching video there are notes and slides available for you. Feel free to download that and you can do a quick review of the lesson

Slides

Click to Slide Show to View Full

Notes (Part 5)

Click to Top right icon to download notes.

Chapter 1 Book

This is updated version of Chapter 1 of Book Deep Learning for Coders With Fastai and Pytorch: AI Applications Without a Phd

I modified code according to new version of fastai library

Resources :

  1. Slides and Lecture Notes
  2. Original Lesson Video
  3. Free Book Version
  4. Amazon Book
  5. Image Analysis Tool PixSpy
  6. Dalle Text to Image Generator
  7. The Pytorch Image Model
  8. fast.ai Library Documentation
  9. Fast.ai Course 2017
  10. ULMfit Paper With Code
  11. Kaggle Notebook
  12. Medium.com Article Blog
  13. Kaggle Notebook Jhoward
  14. Kaggle Notebook Is it a Bird Classifier
  15. Tabular Model
  16. Collaborative Filtering
  17. Rise Extension Jupyter Notebook
  18. Fastpages Fast.ai
  19. Testing Fast.ai
  20. Share Your Work Fast.ai
  21. Graphviz Extension


<== Lesson1-Part4                                                 Lesson2-Part1 ==>

Acknowledgements

Special Thanks to @Jeremy Howard