Hacker News Board Hacker News, browsed like a classic message board
Live data from Hacker News

Deep Learning Foundations to Stable Diffusion

course.fast.ai

Post reply on HN
Print view View original

91–100 of 121 posts

Re: Deep Learning Foundations to Stable Diffusion

#91

Post by rasmus1610 »

Avalaxy wrote: post #90
ttul wrote: post #89

I audited this course - I say “audited” because I didn’t have time to do the homework; I just watched the lectures and spent what time I could playing around in Colab building some toy models. This is very much a full time university level course and you should treat it that way if you intend to complete it properly. You will need to reserve 10 hours per week for the homework - at least. I enjoyed how Jeremy and his…

> You will need to reserve 10 hours per week for the homework - at least. Is that for part 2? Or also for part 1? How long did it take you, doing it 10 hours per week?

For both. Although you will be much faster in part 1 if you know the basics of deep learning. But then again you can go so much deeper on certain topics and explore maybe some tangents to the content of part 1.

Re: Deep Learning Foundations to Stable Diffusion

#92

Post by rasmus1610 »

knicholes wrote: post #80

I've watched all of the fastai tutorials. I've screwed up by not going through and actually writing the code, but I hope to do it again and do it right this time. My biggest question is if this the whole part 2 course or still the 2-3 preview courses released around last November?

No this is now the whole part 2 course, so lesson 9 - 25.

Re: Deep Learning Foundations to Stable Diffusion

#93

Post by rasmus1610 »

jackallis wrote: post #78

my nephew who is going to college this fall at east coast said, "what's the point of CS major anymore" and i asked "what do you mean" and he goes " ChatGPT". This is very cynical coming from 16 year old; however, got me thinking about impact of Chatgpt on peoples' mind about learning ML/AI if chatgpt can do it all!

In my opinion you still need to have a grasp of the concepts, because ChatGPT still hallucinates stuff and messes stuff up.

Re: Deep Learning Foundations to Stable Diffusion

#94

Post by willis77 »

jackallis wrote: post #78

my nephew who is going to college this fall at east coast said, "what's the point of CS major anymore" and i asked "what do you mean" and he goes " ChatGPT". This is very cynical coming from 16 year old; however, got me thinking about impact of Chatgpt on peoples' mind about learning ML/AI if chatgpt can do it all!

The year is 1900. College-bound nephew says "what's the point of a physics major anymore?" I asked "what do you mean?" and he goes "Newton's Laws".

Re: Deep Learning Foundations to Stable Diffusion

#95

Post by cyrialize »

narag wrote: post #40
maelito wrote: post #30

Earlier quoted context omitted.

I don't get why your question is getting unvoted. This is a serious question. For engineers and "normal people" as well : why bother learning ?

That's not a serious question, it's the very definition of trolling. You can replace Stable Diffusion with any other subject to learn, and that particular doom scenario with a similar one or, if you don't feel very inclined to ellucubrate, just say the good old "why learn anything when we all are eventually going to die and be forgotten". Not cool.

I can empathize with this question.

When I go to learn something for my career I find myself asking how much time I should actually dedicate to it when a LLM could do so much better.

I want to learn deeper and understand things deeply - but if my time could be spent instead on surface level things and using LLMs to fill in the gaps - it makes it difficult to motivate myself to find time.

I still am trying to learn things deeply, I've had this course bookmarked for a while now and have gone through it a bit.

I guess for me the core fear I have is that the programming field is fast paced. I could learn something deeply, but someone with a surface level understanding and using an LLM can maybe surpass me. Will an employer pick whoever understands something deeply, or whoever has the solution first?

Maybe then the core question here is this: As LLMs improve, is it worth it to learn things deeply for your career, or is it better to gain a surface level understanding and defer to an LLM?

There is also the argument that understanding something deeply will allow you to use an LLM much better than someone with a surface level understanding... but I still have that fear that that may not matter anymore.

I'll still learn things for fun though, so at least I have that!

Re: Deep Learning Foundations to Stable Diffusion

#96

Post by Fede_V »

The fast.ai courses are exceptionally good for getting started and learning the concepts, but, once you've mastered an intuitive understanding of the techniques, I highly encourage people to dig deeper into the concepts - specifically, reverse SDEs, stochastic calculus, optimization, score matching.

Jeremy does an excellent job making the content approachable, but, if you want to go beyond being an excellent practicioner, you cannot skip the theory bits.

Re: Deep Learning Foundations to Stable Diffusion

#97

Post by mncharity »

stevesimmons wrote: post #35
crakenzak wrote: post #33

Earlier quoted context omitted.

Is there any chance that the transcripts can be published on the website? I'd love to be able to search through them. love the course btw!

This would be ideal. I much prefer seeing everything in text form, in the same place, without having to jump out to YouTube. I can read many times faster than listen, and more easily skim back if I realise I don't understand something.

Yet another application for ai (Is there an acronym for that?). Given a video, generate a nicely readable webpage with transcript and tastefully selected stills and short clips.

So many tantalizing possibilities for next-gen A/V blending text (toc, transcript, summary, elaboration, explanation, interaction) with massaged video (speed, excerpts, mashups, synthesis) and HID ("hmm, my viewer just frowned and shifted gaze to the text pane, so let's cut to a synthesized reprise of that last bit with the conceptual steps filled in a bit"). So much fun to be had, modulo patents.

Re: Deep Learning Foundations to Stable Diffusion

#98

Post by WalterSear »

blibble wrote: post #76
Closi wrote: post #74

Earlier quoted context omitted.

Depends what people are motivated to do - if you just want to build cool things quicker, you will probably be excited by ML. If you like writing algorithms and enjoy the mental problem-solving aspect of it, then you might not like it. If your main motivation is to protect your job/livelihood and ensure your existing skillset is in demand, then you will probably be worried. But in any scenario, the cat is out of the b…

> But in any scenario, the cat is out of the bag - you can't un-invent it so might as well get excited and be on the train, rather than be the person that gets left behind. there are plenty of other ways to deal with it politically push for AI output to be banned, made un-exploitable or highly taxed or the luddite approach time will tell how the several billion people about to be made destitute will react

History has shown us that they will not react until they are already destitute.

Re: Deep Learning Foundations to Stable Diffusion

#99

Post by 62951413 »

nbzso wrote: post #10

This is cool, but I have a fundamental question. Why learn machine learning when all the machines will learn how to create and control themselves and powerful elites will offload the burden of governments to control us? Or we race ourselves to fulfill the last jobs on earth? Is this progress for humanity or enslavement and the end of our species? I am serious. This question is honest. Maybe my IQ is too low to unders…

The future John Connor surely needs that kind of knowledge to re-program the T-800. So does Neo if you expect the future to be not quite that violent.

Re: Deep Learning Foundations to Stable Diffusion

#100

Post by WalterSear »

maelito wrote: post #30
nbzso wrote: post #10

This is cool, but I have a fundamental question. Why learn machine learning when all the machines will learn how to create and control themselves and powerful elites will offload the burden of governments to control us? Or we race ourselves to fulfill the last jobs on earth? Is this progress for humanity or enslavement and the end of our species? I am serious. This question is honest. Maybe my IQ is too low to unders…

I don't get why your question is getting unvoted. This is a serious question. For engineers and "normal people" as well : why bother learning ?

The rational options are to embrace the change, or violently >and materially< oppose it. Sitting on ones hands is only sensible if you don't think it's actually a threat.
Post reply on HN