Lesson2-Part2

This is about Deployment.

Video

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Objectives

  1. Pet Breed Classification
  2. Data Analysis: Cleaning Images
  3. Deep Learning in Production: Gradio & Hugging Face
  4. Usage of Github
  5. Linux Terminal With Windows
  6. Deployment of Model With Kaggle and Collab
  7. Usage of Pre-Trained Model

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 2 of lesson
  3. Notes are provided in google drive (link no. 1 in Resource Section also in description of Video)

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 2)



Tanishq Abraham Gradio and Hugging Face Blog

This is tutorial about deploying Jupyter Notebook with HuggingFace.



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
  3. Amazon Book
  4. Free Book Version
  5. Collab Setup
  6. Share Your Work
  7. Confusion Matrix : Pet Breed Classification
  8. Chapter 2: Production
  9. Tanishq Blog: HuggingFace and Gradio
  10. HuggingFace Spaces
  11. Github Desktop
  12. MicrosoftApp Terminal
  13. Terminal Installation Command : WSL
  14. HuggingFace App by Jeremy
  15. Forums Lesson2 Official Topic
  16. Kaggle Forums Lesson2 Link
  17. Colab Forums Lesson2 Link
  18. Documentation Fastai


<== Lesson2-Part1                                                 Lesson2-Part3 ==>

Acknowledgements

Special Thanks to @Jeremy Howard