The document discusses the requirements for deep learning and introduces the Fastai course on deep learning for programmers. It notes that extensive math, data, and expensive computers are not actually needed to get started. The document then outlines some practical applications of deep learning in areas like NLP, computer vision, medicine, biology, finance, games, and robotics. It also references a brief history of learning methods and introduces the concepts of fastai, PyTorch, Python, and Jupyter notebooks to be covered in the course. The document concludes by stating it is time to start coding and learning through playing the game.

1. Nov 2020
Sofyan H. Ahmad
sofyan.h.ahmad@gmail.com
Fastai
Deep Learning For Programers 01

2. WHAT DO YOU NEED BEFORE WE
START ?
Lot’s of math
Lots of data
Lots of expensive computers
Those all are myth!
myth

3. WHAT DO YOU NEED BEFORE WE
START ?
Now how to code on Python
truth

4. practicaluse NLP
Computer Vision
Medicine
Biology
Finance
Games
Robotics
Other Applications

5. abriefhistory

6. learningmethod
Have fun and
review
02
Learn by playing
the whole game
01
Train the most
important area to
win
03

7. fastai
fastai
Pytorch
Python

8. jupyternotebook

9. ENOUGH TALKING
Let’s play the game!!!
coding

10. SEE YOU NEXT SESSION
theend