Lesson1-Part2

This is Introductory video about this course. We have discussed about applications of deep learning , Philosophy of the course and About creator of the course Jeremy Howard.

Video

Highlights

  1. Remaking Fastai Course Practical Deep Learning 2022  Original Course
  2. Lesson 1 Smaller Version – This one is Part 1 of lesson
  3. Link for the notebook (link no. 11) 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

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
  3. Free Book Version
  4. Amazon Book
  5. Image Analysis Tool PixSpy
  6. Dalle Text to Image Generator
  7. Data Ethics Course
  8. Cups.fast.ai
  9. Fast.ai Course 2017
  10. ULMfit Paper With Code
  11. Kaggle Notebook
  12. Medium.com Article Blog


<== Lesson1-Part1                                                 Lesson1-Part3 ==>

Acknowledgements

Special Thanks to @Jeremy Howard