Wiki thread: Intro workshop


(Jeremy Howard) #1

Please add links, tips, etc here, and help organize information into sections as best as you can! Here is some help on using forum wiki threads. To edit, click on the little pencil icon at the bottom of the thread. Here’s a pic of what to look for:

Links shared in class

Intro Workshop - Timeline

00:00 : Windows setup
04:03 : Mac setup
09:23 : Initial AWS setup
20:26 : Initial Paperspace setup
45:24 : Initial Crestle setup
53:07 : Using the terminal
1:02:01 : Anaconda on laptop
1:11:50 : Pros and cons: Crestle, AWS, Paperspace, laptop, workstation
1:30:52 : Introduction to Jupyter notebooks
2:06:05 : Introduction to numeric programming in Python
2:27:38 : ssh into Paperspace
2:48:11 : ssh into AWS
3:11:49 : Machine Learning Foundations

Ubuntu/bash help

Git

tmux

tmux on AWS

Useful Resources on Introduction to Machine Learning

Useful Resources on Python

Windows 8.1

Deep Learning Resources

Useful resources on PyTorch

Cloud AMI / Setup

Paperspace Fast.AI
AWS EC2 Cost Reference


In-class discussion: Introductory workshop
Whoah... what happened to these forums?!
Was there a rescheduling for the start of the course?
PyTorch resources
In-class discussion: Introductory workshop
Early draft notebooks available
AWS error while launching instance
Idea: Lessons Pinned thread
Pytorch ressources
Deep Learning Brasília - Lição 1
Deep Learning Brasília - Lição 1
Deep Learning Brasília - Revisão (lições 1, 2, 3 e 4)
Where is the short Introductory Videos?
(Jeremy Howard) #2

(Jeremy Howard) #3

Note that I’ve added the video link to the wiki post (top of this thread).


#4

Intro Workshop - Timeline
00:00 : Windows setup
04:03 : Mac setup
09:23 : Initial AWS setup
20:26 : Initial Paperspace setup
45:24 : Initial Crestle setup
53:07 : Using the terminal
1:02:01 : Anaconda on laptop
1:11:50 : Pros and cons: Crestle, AWS, Paperspace, laptop, workstation
1:30:52 : Introduction to Jupyter notebooks
2:06:05 : Introduction to numeric programming in Python
2:27:38 : ssh into Paperspace
2:48:11 : ssh into AWS
3:11:49 : Machine Learning Foundations


(Vikrant Behal) #6

Any material for topics which could not be covered during workshop e.g. git and pandas?


(Hannan Ali) #7

Incredible, thanks for marking this out @ar_ai


(Hannan Ali) #8

Hey Vikrant,

There are plenty of great resources available for learning Git which are totally free and very accessible. It really depends on the type of learning resources you prefer, since there are many. When I started learning git, I started with this hands on tutorial for git https://try.github.io/, this Git Immersion tutorial is also very hands on as it’s organized using a labs concept and teaches you about many of the deep concepts related to git.


(Jeremy Howard) #9

Thanks @ar_ai! I’ll put this into the actual wiki post at the top. For future reference, you can edit it directly yourself.


(Jeremy Howard) #10

These are handy links - thanks! Want to add them into the wiki post at the top of this thread?


(Vikrant Behal) #11

@abdulhannanali I added to links. :slight_smile:


(Aditya) #12

##Useful For Git

  1. https://speckyboy.com/resources-for-learning-git/
  2. https://www.quora.com/What-are-some-good-resources-for-learning-to-use-Git
  3. https://www.atlassian.com/git
  4. https://www.quora.com/I-am-new-to-programming-what-is-the-best-way-to-learn-how-to-use-Git-and-eventually-start-a-project-on-GitHub

(Jeremy Howard) #13

That @ecdrid - want to try copying them directly into the wiki post at the top?


(Pramod) #15

merged and resolved.


(Suvash) #16

Just double checking here if we are going to using the standard Deep learning AMIs (Ubuntu) provided by AWS itself ( https://aws.amazon.com/marketplace/pp/B06VSPXKDX ), or if there’ll be a custom AMI for the course ? ping @jeremy


(Jeremy Howard) #17

I was planning to use a custom, although the new AMIs are looking better than they used to, so I may change my mind this weekend.


(Ravi Sekar Vijayakumar) #18

Add a new pytorch tutorial from a cool blog http://adventuresinmachinelearning.com to the wiki.


(Davide Boschetto) #19

Can’t express how grateful we are that you are actually spending time to let us use the most recent advancements for this course. Thanks!


(sergii makarevych) #20

Thanks @ravivijay, nice source.


(Aditya) #23

In some cases, leaving your resources running maximizes your free tier benefits. For example, if you run an Amazon EC2 instance for only a portion of an hour, AWS counts that as an entire hour. Therefore, if you stop and start an Amazon EC2 instance three times in a single hour, you use up three hours of your monthly allotment…
http://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/free-tier-limits.html


(Ravindra Mahar) #24

The article gave an example for the free instance only. As this is titled under “Hourly Usage in the Free Tier”. I guess this will not be applicable for the paid instances. For paid ones this should be the actual clock time.