Lesson1-Part4

Video

Objectives

  1. Quick Review of Classification Model
  2. General View of of Code and Components
  3. Resources How to Modify code
  4. Segmentation Model

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 4 of lesson
  3. Link for the notebooks (link no. 13,14) and notes are provided in google drive (link no. 1 in Resource Section also in description) Also have a look to link (7,8)

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 4)

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


<== Lesson1-Part3                                                 Lesson1-Part5 ==>

Acknowledgements

Special Thanks to @Jeremy Howard