Lesson "0": Practical Deep Learning for Coders (fast.ai)

[@Finn-jp6pn]

I remember being so excited to learn how to train my own models. I was following through with all your sessions back in 2019. But then life happened and I couldn't catch up. And ever since I felt like I missed to a train that I could've boarded. Seeing this video today has awoken that same old excitement within me. I will try my best to follow through this time and complete the whole series. Thank you, Jeremy ❤️

[@nostalgiccringeallhailchel3881]

did you follow through?

[@harshsharma03]

Yes did you

[@llothar68]

I tried 3rd time and still didn't make it further then level 4. And i have a great use case for it (being a traditional C++ programmer) in mind but i just don't get it.

[@hamedgholami261]

every year better than last year. Jeremy, you inspire me to be a good person and help people have better lives. thanks for setting a really good example.

[@DavidPunsalan]

The clean versions of the notebooks is awesome idea. It is amazing how much thought has been put into this!

[@petergoodall6258]

With respect to keeping it simple… “There are two ways of constructing a software design: One way is to make it so simple that there are obviously no deficiencies, and the other way is to make it so complicated that there are no obvious deficiencies. The first method is far more difficult.” ― C. A. R. Hoare

[@joekerr5418]

that's a great quote

[@abhishekaiem]

Oh Man, I had just started and completed 3 lesson in that... again will start from begining, anyway these sessions are gold which can be watched several times. Thanks Jeremy :)

[@yx925]

You are my hero Jeremy!

[@anatoly1]

Already v4, can’t wait!

[@arenashawn772]

This is an amazingly inspiring video and I know I tend to dive into things head first and been really pumped up to start, and I tend to read by consuming a lot of content because I have very good memory. But then at some point I crash and never finish things. I want to stick to to this one and really finish this journey. Hope to see you all on the other side!❤❤❤

[@oleksandrdovgusha1265]

That is the video for me. Thanks, Jeremy! I am the guy who actually has some domain knowledge but postpones the practical application and spends more time on another math book/course.

[@khairulumam3953]

You cares a lot about your community :') thank you so much for your patience and your effort on this community Glad to know fast ai

[@MaxwellMcKinnon]

V4!!!! Woot woot. Thanks Jeremy for enabling me to get in the door on ML at Apple and now Google, having an awesome time making crazy stuff. I gave up too easily on the PhD required tag at one point trying to self study my way in. I was very happy i stumbled onto fastai (back when it was v1 keras). I remember it being so hard to get started ~5 years ago, even as a Math lover and math major, most resources were way too pre-req math focused and not enough applied and intuition building focused. Love your dive in and go (Mathematician’s Lament) approach. Sort of like JIT compilation: don’t exhaustively study the pre-req but rather study the end product first then use that context to motivate the study of the needed parts of the pre-reqs ;). Love and much thanks!!! (Admittedly I didn’t finish every fastai lesson, but it’s because my projects took off, and at that point doing fastai became the getting ducks in a row activity :D)

[@sanjayp7027]

Can you tell me strat to get into apple and google ? Google seems to be only taking PhDs

[@MaxwellMcKinnon]

@@sanjayp7027 at google you can only get one interview per year and it’s easy to move around once you’re in anyways so just study you brains out for the interview. For apple, it’s more about having a good portfolio usually, as well as connecting to the right people to get an interview. You can get a bunch of interviews at Apple, there’s no limit

[@sanjayp7027]

@@MaxwellMcKinnon Thank you very much. I will work on it 👍

[@michaeltranchina6358]

I am assuming that most of what is in this fantastic video is now (2024) obsolete...I am afraid to ask if there will be a new updated video put together to bring everything up to date?

[@howardjeremyp]

AFAIK pretty much nothing in it is obsolete.

[@strauss7151]

Excitedly waiting for part 2!!

[@anangelsdiaries]

I love how Jeremy just dropped "17 years-old PHD graduate" as if it was the most normal thing. What the heck.

[@CihatUysal07]

Thank you Jeremy! Super exited for part 2.

[@pariscatblue]

Thank you Jeremy for this video, and very much! I'm one of those that started and never finished... and not because I didn't want to... And I have vastly benefited from that part that I managed to complete... whatever, here I am again and will do my best to finish it this time! :-)

[@josephbloom7410]

Finish the Damn Course

[@SimplyAndy]

Why not add this to the lecture website. Maybe as an optional vid. This is really helpful, but many learners might be unaware of this vid.

[@techworld3043]

amazing I love this ... I follow all the series now

[@eyerusalemgebreegzabiher3304]

Welcome back

[@tessaractstroke267]

Great video as always

[@adamcosgrove9730]

If possible, please can you create a video from start to finish on setting up and finding the API key discussed in lesson 2 of the 2020 course? I really enjoy the course but am stunted by my inability to be able confidently to find it. And, all solutions on the forums appear to be outdated with people commenting on similar issues. Thanks

[@datasciyinfo5133]

Thank you so much for fast.ai v4. Our Meetup is using your course to learn together, in Virginia. We’re waiting for Part 2, having finished most of Part 1. Also Radek Osmulski sounds just like me, except I already went down that math rabbit hole for a different subject, so now I don’t have that distraction. Still taking a long time to learn ml and dl, about 3 years for me so far. Just starting to feel I know the very easy basic things. Python libraries and coding tools were most time consuming and difficult to remember for a non-coder.

[@denismerigold486]

Thank you Jeremy!

[@Teslawaverunner]

Will there be a new Part 1 i.e. will there be a “Deep learning for coders 2021 “ ? Or is it just a Part 2 that we can expect this year ? Thx

[@kalpanshah281]

you could get the next parts here kzbin.info/aero/PLfYUBJiXbdtTttBGq-u2zeY1OTjs5e-Ia.

[@robosergTV]

@@kalpanshah281 those are from 2018...

[@robosergTV]

Does that mean the rest of the 2021 course are coming soon?

[@craigrichards5472]

Thanks for sharing your passion with us. I’ve learnt heaps and sure you have changed so many lives. I have a man crush. ❤😂

[@krishnaaditya2086]

Awesome thanks !

[@sunnygawande5283]

This is gem❤️

[@vicricciuti4690]

Thia ís a wonderful course!

[@swait239]

Service request to increase instances of G type of ec2 was rejected. I’m in Los Angeles ca.

[@ludwigweddig6817]

How much more time do you expect is needed to get through the course other than the 15h of video material?

[@isaaldoseri2689]

wait, is there a 2021 version of the course coming soon?

[@mardanbeneshan8936]

very good

[@RajnishAhuja]

Can no longer see the likes on twitter. Possible to have a 'list' of the folks to follow ?

[@swait239]

I’m totally blocked: AWS rejected my instance count increase request, and Azure is failing to create VM with “the requested size of resource.. is currently not available in location, please try another size”. I’m trying to be persistent but man, I’ve been stuck for 12 days.

[@codybontecou]

Is there an updated url for the start_aws page?

[@codybontecou]

Scratch that. A quick google search of course fastai start aws shows the new url.

[@swait239]

I’m completely blocked because my limit increase request has been rejected by AWS. Region US West. G4DN.Xlarge is the smallest instance necessary, correct?

[@thryce82]

i would like to recommend "A Matrix Algebra Approach to Artificial Intelligence " by Xian-Da Zhang. I never actually read it haha but the preface is one of the sweetest things ever. The author was in uni in china during the cultural revolution. Ended up being called burgouis and sent to be reeducated on a farm for a decade or so on what it meant to be "chinese" He eventually was able to immigrate to the US and in his mid 30s worked and went and got his phd (i think by hisearly 40s) . HIs family wrote that instead of spending his final time with them he pushed thru to complete that book because he thought it was imp to pass down knowledge to the next generation so they wouldnt repeat the mistakes of the past. its a very academic text and seems rather dry but nice to read his story and to remember that others have been thru wayyyyyyy more shit than you and persevered. and if you dont finish this its probably not because of circumstance because but because you made a decision that other things were more imp. totally ok ofc but at least be honest about it

[@watsomk]

Do you still recommend Twitter as the best place to learn about the latest happening in deep learning?

[@NicoA47]

Could we use deep learning to get rid of these pop sounds?

[@andrewgianikas7537]

"finish the damn course" nuff said

[@pavlosn]

I already built my GPU PC with Linux, do you suggest I go through and setup AWS and use it? what are your thoughts on the students that have the GPU?

[@perceptron5983]

I feel the same. I think that if you have enough power via gpu and you pc you don't need AWS unless you are going to be using huge data.. Cheers.

[@leiandroskaklamanos2665]

@@perceptron5983 @Pavlos Nicola Did this work well?

[@yashdusing]

I bought the book just to support you. :(

[@datasciyinfo5133]

I rewatched this video, and I’d like to add that Part 2 is Much Much Harder than Part 1. I’ve done 4 chapters or so from Part 2, without writing my own versions of fastai library (further research topics). I only try to understand how fastai parts work to apply it to my own project. Diving into fastai code is complex. Uses advanced coding concepts. I am slowly understanding the small parts of fastai library needed for my project, but I totally understand why only a few people will finish Part 2.

[@JonathanEyre]

Is this a taped presentation given to an audience because your head movement never address the camera but rather swing from side to side, which looks quite weird when viewed through utube

[@mohamednazar4644]

Iam a chess player and i always want to build an engine like alpha zero.

[@Abhi-qn4xv]

I am new to deeplearning and this channel, do I follow this series or do I have to go through other practical deeplearning for coders series that are labelled by their year. Thanx

[@AB51002]

Do the 2020 version, which is part 1. By the time you're done, the new version of part 2 should be out, then you can do it if you think you're ready for it.

[@michaelnurse9089]

Cmmn guys - just finish the damn course! :-)

[@faqeerhasnain]

Fallen in love with you Jeremy, really, thanks a lot.

[@tarshsingh4198]

52:33

[@ranjitht3662]

This time finish it

[@AbaseenPodcast]

34:30 How NOT to do FastAI

[@fuegopuro5933]

Whaaaat

[@doyourealise]

damn

[@min-youngchoi3833]

hello v4

[@nbansal]

Hey. Is he going to release new videos for v4 or do we simply refer to the old videos?

[@suchalooser1175]

underratted video.