Lesson2-Part1

This is about Deployment.

Video

Objectives

1. Guidelines to Book Usage
2. Usage of Forums
3. Share of Work : Applications by Students
4. Put the Model in Production: Gathering and Cleaning Data
5. Jupyter Notebook Extensions : Navigation Menu
6. Chapter 2 : Preprocessing ,  Data Augmentation , Training and Evaluation

Highlights

Following were the highlight’s:

1. Remaking Fastai Course Practical Deep Learning 2022 Original Course
2. Lesson 2 Smaller Version – This one is Part 1 of lesson
3. Useful Links (link no. 2 to 13) 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

To Download Click Here

Notes (Part 1)

Book: Chapter-2 Production (ipynb)

This is updated version of Chapter 2 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. Medium.com Blog
4. Amazon Book
5. Book With Colab
6. AiQuizzes
7. Forums Lesson 1 Official Topic
8. Forums Share Your Work
9. Deployed Application With Hugging Face
10. Jupyter Notebook Extensions
11. Fastbook Free
12. Chapter 2 - Fastbook
13. Computer Vision Model
14. Documentation of fastai

<== Lesson1-Part5                                                 Lesson2-Part2 ==>

Acknowledgements

Special Thanks to @Jeremy Howard