Introduction to Fastai 2022 Lesson 1 Part 3

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

course website :https://hafizahmadhassan.github.io/mynbdev_cards/

Video Link

https://www.youtube.com/watch?v=wjGmG8WCZeo&t=267s

Objectives

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

Highlights

1. Remaking Fastai Course Practical Deep Learning 2022( https://course.fast.ai/ )
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)

Outline

1. How we can build DL classification system so quick
2. Pre-Deep Learning Methods of Developing Applications
3. General View of Neural Network
4. Set of Weights
5. Why Deep Learning is Deep
6. More Complex Features Extraction
7. Image Based Algorithms are not Just for Images
8. Pre-Requisite of The Course
9. Pytorch as Framework
10. What this Course Use — Framework
11. Pytorch 2018 Research
12. Optimizer Code in Pytorch
13. Fastai You can implement optimizer in Simple way
14. Fastai Best Paper Award
15. Jupyter Notebook Introduction
16. Jupyter Notebook on Cloud Server
17. Kaggle Contains Jupyter Notebook Server
18. First Use of Notebook
19. Cell Types of Notebook
20. Jupyter Notebook 2017 Award
21. Tutorial

Resources

1. https://drive.google.com/drive/folders/15ODbJIV4dGzHLTusXKjoy5mjNJq8FtQo?usp=share_link
2. https://course.fast.ai/Lessons/lesson1.html
3. https://github.com/fastai/fastbook
4. https://www.amazon.com/Deep-Learning-Coders-fastai-PyTorch/dp/1492045527
5. https://pixspy.com/
6. https://openai.com/dall-e-2/
7. https://ethics.fast.ai/
8. https://cups.fast.ai/
9. https://course17.fast.ai/
10. https://paperswithcode.com/method/ulmfit
11. https://www.kaggle.com/ahmadhassan061/lesson1
12. https://medium.com/@l154359/introduction-to-fastai-2022-lesson-1-b7e45625f1b
13. https://www.kaggle.com/jhoward/notebooks
14. https://www.kaggle.com/code/jhoward/jupyter-notebook-101