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Practical Deep Learning for Coders 2022

fast.ai

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Re: Practical Deep Learning for Coders 2022

#61

Post by jph00 »

rg111 wrote: post #30

There are too many poor design decisions in the fast.ai library. One should invest too much time just for the sake of learning the library's weird API, and then using it. Doing something custom is too difficult, in contrast to Jax, PyTorch, and even (poor library) TensorFlow. The coding practices are whimsical. The codebase wouldn’t pass code review in any respectable company. Variable namings are weird and super-pro…

> Howard is great with one problem: he kinda hates math

I'm sorry what?

I run a math study group 4x per week.

Right now the book I'm reading during my rest time is a calculus book.

I've co-authored a lengthy paper on matrix calculus foundations for deep learning.

I wrote a lot of the math materials in our numerical linear programming course.

It really seems like you have very very little understanding of me or the software library I've created, but yet are nonetheless comfortable publicly pronouncing your opinions about both.

Re: Practical Deep Learning for Coders 2022

#62

Post by mloncode »

rg111 wrote: post #40
sabertoothed wrote: post #35

Earlier quoted context omitted.

I deleted an earlier, angrier comment of mine. Can you explain this last sentence (which I understand to be insulting and without basis): > Howard is great with one problem: he kinda hates math. It might also seem that he ends up promoting anti-intellectualism.

He says repeatedly "You don't need math", and stuff like that. This is not insulting. That man is my hero, and I deeply respect him. But his 2019/20 course was riddled with such statements. He repeatedly said that one doesn't need math, and showed tools like drawing math symbols on a website to learn their names and ride on that. No further math needed. It's like you can wing it in Deep Learning without learning Math…

> influencer types in the fastai community who have 10ks of followers and shills

Everyone that I can see that fits that profile work at real companies doing real deep learning work, or are building infrastructure and tools that we all use. Nvidia, Huggingface, Etc. I don't see pure media stuff at all, most people are developing libraries or doing other applied work, and talk about their work publicly. Frankly, your comments come across like you are salty. Being a unpleasant person in online forums that enjoys insulting people seems correlated, which likely doesn't bode well for your professional aspirations, regardless of how much math or python you do/don't know.

> You don't need math

He's saying you don't need a PhD in math, not that you should ignore math all together. I have graduate level math and CS background and I don't thing either of those helped much, other than overcoming gatekeeping. The thing thats far more important for applied ML is to practice DL on lots of different problems to be effective. PhD level math might be useful for research, but that isn't necessary in practice for most people.

Re: Practical Deep Learning for Coders 2022

#64

Post by rg111 »

mloncode wrote: post #62
rg111 wrote: post #40

Earlier quoted context omitted.

He says repeatedly "You don't need math", and stuff like that. This is not insulting. That man is my hero, and I deeply respect him. But his 2019/20 course was riddled with such statements. He repeatedly said that one doesn't need math, and showed tools like drawing math symbols on a website to learn their names and ride on that. No further math needed. It's like you can wing it in Deep Learning without learning Math…

> influencer types in the fastai community who have 10ks of followers and shills Everyone that I can see that fits that profile work at real companies doing real deep learning work, or are building infrastructure and tools that we all use. Nvidia, Huggingface, Etc. I don't see pure media stuff at all, most people are developing libraries or doing other applied work, and talk about their work publicly. Frankly, your c…

No post body was provided.

Re: Practical Deep Learning for Coders 2022

#65

Post by rg111 »

jph00 wrote: post #61
rg111 wrote: post #30

There are too many poor design decisions in the fast.ai library. One should invest too much time just for the sake of learning the library's weird API, and then using it. Doing something custom is too difficult, in contrast to Jax, PyTorch, and even (poor library) TensorFlow. The coding practices are whimsical. The codebase wouldn’t pass code review in any respectable company. Variable namings are weird and super-pro…

> Howard is great with one problem: he kinda hates math I'm sorry what? I run a math study group 4x per week. Right now the book I'm reading during my rest time is a calculus book. I've co-authored a lengthy paper on matrix calculus foundations for deep learning. I wrote a lot of the math materials in our numerical linear programming course. It really seems like you have very very little understanding of me or the so…

No post body was provided.

Re: Practical Deep Learning for Coders 2022

#66

Post by mloncode »

rg111 wrote: post #64
mloncode wrote: post #62

Earlier quoted context omitted.

> influencer types in the fastai community who have 10ks of followers and shills Everyone that I can see that fits that profile work at real companies doing real deep learning work, or are building infrastructure and tools that we all use. Nvidia, Huggingface, Etc. I don't see pure media stuff at all, most people are developing libraries or doing other applied work, and talk about their work publicly. Frankly, your c…

Quoted post unavailable.

> Sanyam Buhtani does not do real DL work.

Oh wow, it seems like you have made a habit of judging people, even though you don't know much about them at all, as recently as 10 minutes ago: https://news.ycombinator.com/item?id=32197090

Despite the fake apologies, I suppose it is a habit you can't really shake.

By the way, how do you do real DL work if you have so much trouble communicating and interacting with people generally? Seems like that would really get in the way of doing anything of any import.

Throwing insults at people using their full names on anonymous internet forums as "being fake" is a special kind of toxic behavior. They really should not allow you to participate in these forums with this kind of behavior.

I've flagged your comment as inappropriate.

Re: Practical Deep Learning for Coders 2022

#67

Post by dang »

rg111 wrote: post #30

There are too many poor design decisions in the fast.ai library. One should invest too much time just for the sake of learning the library's weird API, and then using it. Doing something custom is too difficult, in contrast to Jax, PyTorch, and even (poor library) TensorFlow. The coding practices are whimsical. The codebase wouldn’t pass code review in any respectable company. Variable namings are weird and super-pro…

You've recently posted repeated comments that cross into personal attack. We ban accounts that do that, so please don't do it again.

We detached this subthread from https://news.ycombinator.com/item?id=32189308.

Re: Practical Deep Learning for Coders 2022

#68

Post by dang »

rg111 wrote: post #64
mloncode wrote: post #62

Earlier quoted context omitted.

> influencer types in the fastai community who have 10ks of followers and shills Everyone that I can see that fits that profile work at real companies doing real deep learning work, or are building infrastructure and tools that we all use. Nvidia, Huggingface, Etc. I don't see pure media stuff at all, most people are developing libraries or doing other applied work, and talk about their work publicly. Frankly, your c…

Quoted post unavailable.

Personal attacks will get you banned here. Please don't post like this again.

https://news.ycombinator.com/newsguidelines.html

Re: Practical Deep Learning for Coders 2022

#69

Post by __rito__ »

I haven’t seen this course content yet, but fully did the 2019 version.

Extremely grateful to have found it. Changed the course of my life.

I can vouch for it's quality.

Jeremy is an excellent instructor. So much clarity in his teaching!

I love that this is a hands-on course, and there are ZERO hand-wavings. I also really like the top-down approach of teaching. Now, whenever I try to communicate something or teach someone, I try to do it top-down. And I have Jeremy to thank for that.

Currently, I am attending his APL study group and having a blast!

Only question for @jph00 is: second part, when?

Re: Practical Deep Learning for Coders 2022

#70

Post by __rito__ »

jph00 wrote: post #3

Hi folks - I'm the creator/teacher of this course. I'd be happy to answer any questions that you have about the course, learning deep learning in general, or the state of deep learning in 2022.

Jeremy, hi.

I have one question, and one only. Please answer:

Second part, when?

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