Lesson1-Part3

This Lecture discusses about history of deep learning , framework and Jupyter notebook.

Video

Objectives

1. History of Deep Learning
2. Deep Learning Framework
3. Jupyter Notebook

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 3 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)

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 3)

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 Notes
2. Original Lesson Video
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
13. Jhoward Kaggle Notebooks
14. Notebook 101 Get Start

<== Lesson1-Part2                                                 Lesson1-Part4 ==>

Acknowledgements

Special Thanks to @Jeremy Howard