Hi Venky, welcome to the community!
I found this post very helpful: How to do fastai - Study plans & Learning strategies
The template for note-taking is great, I absolutely recommend it.
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Hi vbrege Welcome!
I agree with johannesstutz
There are also one or two good resources for improving your Python skills on the link below.
Cheers mrfabulous1 
Awesome !!! Thanks a lot for these great tips @mrfabulous1 and @johannesstutz…I am looking through these resources rightaway.
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Hi all,
I’m Eyal. Very happy to join this wonderful community.
I think to teach Part 1 in a college in Israel (in Hebrew) and to use fast.ai’s resources. So, I wonder, what are the copyrights? Can I do this?
This website, project, is impressive, and I think it has everything a person wants to start to dive into DL need. So, I wouldn’t change anything. This is why I want to use this community and resources to teach young students in Israel.
Is anyone can help?
Thanks and best,
Eyal.
https://www.linkedin.com/in/eyal-ben-zion/
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Hey Eyal, welcome to the community! It is totally fine to use fastai’s resources to teach a class especially if you are contributing back by converting the materials into another language. I think the main thing is to just give credit to fastai. I think @chansung18 has taught a course or translated some materials so he might have some tips on this as well 
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muellerzr aka Zachary Mueller teaches classes as well - see
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Hello, my name is Avi, and I wanna make cool stuff with weighted sums.
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Hey guys. Just started on the course, and after watching Jeremy’s recent video I have decided I will be blogging my progress. I am not using fastpages as I already made a blog while learning Python so thought it would be nice to actually use it.
Here is the first post: Peter’s Blog (ptear-blog.herokuapp.com).
I will make a post eventually but I don’t think I can right now as a new member.
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Hello everyone!
Been following the course and community for the last 3 months or so and taken full advantage of the hands-on teaching method the fast.ai espouses so well.
Naïvely, I signed up for the FSDL from Berkeley thinking they also taught DL there, only to find out that the emphasis was on full-stack as opposed to deep learning, so I had to learn fast and on the fly. I must say, so far the adventure has been equally challenging and satisfying 
.
My project, done totally in fastai, and deployed to the web as a streamlit app is here : http://bcnconfidential.net:8501. This is only the beginning, and I look forward to learning and helping out.
Cheers!
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You should be able to create a post fairly quickly. It’s a pretty low barrier if I remember correctly. Maybe like 15 minutes of reading or something?
Hello, I am Shreyas. I am from India.
I am from a non STEM background, but am really interested in deep learning and machine learning in general. Although I don’t have a mathematical background, I am willing to learn. I find it oddly interesting 
. I recently learned a bit of python on my own and it literally feels like a superpower. It opens up a plethora of interesting things to try out!
I am planning on taking up a distant learning degree i.e. B.Sc in data science and programming in the near future.
A big motivating factor for me taking up this course was @jeremy. His journey is inspiring for me as even he is from a non technical background.
I am a finance student (currently specialising in financial risk management) and I’m interested in financial applications of deep learning and I am curious as to how I can use DL to make people’s financial lives better!
This is my twitter handle @ishreyas2000.
I am grateful to @jeremy for providing all these resource for us to learn!
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Yes I’ve posted now. Thanks
Hi there. I’m fairly young (which will make some of the math concepts hard), and on lesson 4. Before this I’ve been working on learning some Vue, Git, and a Vivaldi Modding project. The fastai is a bit daunting and might take me a while, but I’ll get there. I like the teaching style, even if the lessons are long. As much as I can I try to test the different variables and do other things that aren’t written into the notebook.
I am also better at JS than Python. I would like to be able to port the ML models onto Tensorflow JS and run them in the browser, as a final project. I may get another idea, but I am thinking of making a detector of JS tracking scripts, and making a UI with Vue.
I don’t use twitter but will share my fastpages blog.
I don’t really like this forum software compared to NodeBB, but I guess I will figure it out. I do wonder, why is there no “Chit-Chat” category on this forum? Everything I’ve seen seems to be talking about ML.
Edit: Of course, thank you for making this course!
Edit: Yipee, I’m Basic! What an honor!
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Hi there!
I’m Tomasz from Poland.
My story:
When I was a 13 years old boy, I read the book “The God Particle: If the Universe Is the Answer, What Is the Question?” by Leon Lederman. This made me decide to become a theoretical physicist and discover something very fundamental about our Universe when I grow up. In high school, Richard Feynman was my hero.
I didn’t have my first doubts that this is what I want to do with my life, until about half a year after I actually started studying physics at university. Something didn’t feel quite right. Initially, I trusted this institution that they will prepare me to become a great scientist but it looked like we were focusing on wrong things (e.g. how to manually calculate integrals and solve differential equations, really?).
2 years later, my presentiment was strongly confirmed. I began seeing many of my older friends (who also wanted to be become scientists) getting mental health problems (depression and anxiety) during their PhD programs and eventually leaving the academia. They were moving mainly to programming and machine learning. After the transition, their lives drastically changed for the better.
My future started looking scary, so I decided to skip the step of being disappointed (or much worse) by a mediocre PhD program and go to data science directly. After obtaining my BSc in mathematics, I followed instructions from quora answer to question “how to become a data scientist?” and found my first job. And here I am, developing a recommendation system for Polish TV.
Recently, I read the fastbook (as you can guess the “without a PhD” part of the subtitle is near and dear to my heart!) and now I’m finally getting actually really interested in AI! I love how much can be done with very little resources (especially time and data) thanks to transfer learning and this brilliant idea to brazenly transform problems from various domains to image classification and use transfer learning from there! Also, the whole game approach is very refreshing for me
I joined the fast.ai course and I’m in the process of up-leveling my AI skills. I’m also very excited about the startup course recently announced by @jeremy
Thanks Jeremy!
Edit: my twitter: @tgrykias
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Hi all, very late entry into the course, but my name is Robert. I’m studying Computer Science and cybersecurity at Carleton University in Canada, and I’m still relatively new to DL. I’ve taken the first couple modules of the course a couple of times, but I still wasn’t entirely sure how to make a production-ready model that I could actually deploy to the web, so I scrapped it and focused on university for a while. Now, though, I have the knowledge to make and deploy a web-server, and I’ve been through multiple online courses so I can finally tackle this course in its entirety!
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Hello there. I am a design engineer for a large company in the Medical Device industry (a mechanical / materials engineer, not a SW engineer) who works on artificial heart valves, stents, and stent grafts. I only wrote my first line of code 3 years ago and have used R/tidyverse for analysis / data visualization / statistical learning for tabular data to help with problems in my industry. I have many interesting datasets at work that I have carefully curated over the years but until now have had no good way to leverage them for prediction. I love R but want to use the best tool for the job and I really appreciate the fast.ai approach to teaching (top down, learn by doing). I know it will be tough to learn both python and DL at the same time but I have made it through 2 lessons and worked the problems on my own and so far so good. Thank you Jeremy and the team - I can’t believe this material is free (did buy the book though). It feels like I “shouldn’t” be able to do this…yet somehow so far I am. Cheers.
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Hiya folks.
About myself:
Just a fellow human being here.
Where am I in the DL journey?
Hopefully gained enough momentum to get myself fairly confident in it in 6 months.
What would I like to get out of the course?
90% Knowledge fiber, juices & other nutrients.
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Hi, I’m Ekken. I’m from Singapore, but currently in Japan. It’s embarrassing to say this, but I think I’m practically still at the starting point of the deep learning journey, despite having been trying to make the transition since years ago.
My college degree was in linguistics, and so far job hunts and internship applications around the tech field have not gone well due to my age and discrimination against non-tech backgrounds (literally had feedback that said - his B.A. background is concerning, they don’t know enough math). Which is why fast.ai’s premise that you don’t need to be super in math to do well in DL is attractive to me, though I also do believe knowing more math would help even more.
Hoping to learn alongside everyone.
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Hello I was just wondering have you come across routing and placement algorithms that are being used in VLSI Design. It won’t be a silver bullet but there also complex architectures are implemented with lot’s of constraints.
Hello
I am Ayush and I am from India! I am working as a Research Associate and somehow I have always been on/off with the course. Few days back I saw the “Lecture 0” for “How to fast.ai” and I have decided this time I will completed this course properly. I like to learn about different things but I have been lacking consistency to do this. I think completing this course set’s me in the direction of completing things.
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