I have understood nothing.

The more I learn about Python, the more it seems like good python code should contain as little code in python as possible.

@r0manuks

Жыл бұрын

Try to build a table completely out of glue. Same thing, you want to use as little as possible

@ipodtouch470

Жыл бұрын

Good python code seems to follow the following pattern import taskDoer doer = taskDoer doer.do_task()

@SI0AX

Жыл бұрын

IMO, the less code something has, the better. *Especially* when it's boilerplate code. Sometimes I believe people have a typing fetish... I actually have a coworker that likes typing and he writes a lot of repetitive code and does not recycle the code.

@MrRaja

Жыл бұрын

​@@SI0AX now he can beautify his code using gpt4. Don't show it to him it'll break his heart

@mrgalaxy396

Жыл бұрын

​@@SI0AX You mean the less code _you_ have to type the better. We all want complexity abstracted away with nice easy to use APIs we can just chain to get things done, but there's still a bunch of code someone else had to write running in the background to get that thing done.

I did my final project for my degree last year using TensorFlow. I'm tearing my hair out now learning about PyTorch, this looks like it would have saved me so much time and suffering 😭

@suyashshrestha1099

Жыл бұрын

Is TensorFlow not worth learning than PyTorch?

@akj3344

Жыл бұрын

@@suyashshrestha1099 Just pick one and go with it. Once you understand one of them, you can pick up the other in 2 hours or something.

@SI0AX

Жыл бұрын

There are actually *very* few differences between the 2. Their use cases may differ, but that really only because of what a company decided to use for their project. You can actually switch from one to the other with little effort.

@yourmomsboyfriend3337

Жыл бұрын

I agree with the above commenters, but if you are familiar with Numpy, USE PYTORCH. Numpy is extremely similar to PyTorch, and they even share an astounding number of identical functions, where PyTorch’s version just operate on tensors instead of numpy arrays and can use your GPU. Creating an array in numpy can be done identically in PyTorch with the Zeros(), Ones(), and empty() functions. They also connect very well, there’s even a from_numpy() function to get convert between the two

@AmodSandeepa

Жыл бұрын

Pytorch is majorly used in academia and TF in the industry. Personally I found TF easier to learn than pytorch. Both are great in their own ways.

kinda wish this was PyTorch in 1000 seconds

I absolutely have loved your videos for so long. Thank you for the incredible production quality and fast-paced information made simple!

@whit3rose

Жыл бұрын

Let's develop a deep neural network to find who made the chicken.

@hatnis

Жыл бұрын

botted subs momenttt

@KingThrillgore

Жыл бұрын

Jaden moment

@fahd2372

Жыл бұрын

@@whit3rose A dinosaur made the egg that mutated and made a chicken

@tixonochek

Жыл бұрын

@@fahd2372 not really

I used PyTorch for my thesis and it was really easy to use, I loved the modularity of everything

@sr.luisraytraceiii2422

Жыл бұрын

YoloV8 and Mindsdb is a great thing for us smooth brains. 😊

@ramandeepkaurbanvat7583

Жыл бұрын

how did you got to learn pytorch can you tell me. I am interested in learning it but not able to find best source

@nebuchadnezzarii6423

Жыл бұрын

what was the thesis on?

@erikawwad7653

Жыл бұрын

@@ramandeepkaurbanvat7583 just use the documentation. what task are you trying to accomplish?

@olcaybolat3452

Жыл бұрын

@@ramandeepkaurbanvat7583 If you finally got a good source, can you also share please

Absolutely brilliant combination of conciseness and coverage.

your 100 second videos seem to come out exactly when I need them. I just started a AI, ML project this week.

@Pramit2000

5 ай бұрын

And I am starting now

@mujibshaikh7494

4 ай бұрын

Will you please share details about your AI ML project

@doomgirl5341

4 ай бұрын

​@@mujibshaikh7494SHUT up

Amazing explanation as always. Short yet concise. I hope you live 100+ more years.

Such large concept in 100 seconds? Just brilliant work. Thanks!

MORE DEEP LEARNING STUFF IN 100 SECONDS! I remember going through courses that took literally freaking days... tons of crazy equations and weird explanations... this stuff is gold man.

Me clicking in 1 sec the notification drops

@dhirajnavale3861

Жыл бұрын

Parkour

@ApoorvPandeyDev

Жыл бұрын

Here for you🏆

@Philopater-Phoneix

Жыл бұрын

​@@dhirajnavale3861 😂😂😂

@horizont6172

Жыл бұрын

Script

@saladmancer8151

Жыл бұрын

Me here complaining how my notifications are always 1hr late. Does anyone know why?

Thinking of this, Pytorch is trending and why there is no 100 second video from Fireship. Just got into machine learning in pytorch. Absolutely 🔥🔥. Need a comparison with Tensorflow. 5days before the version 2 became stable.

@Imperial_Squid

Жыл бұрын

It depends a bit on your use case, pytorch is better for prototyping/research/personal projects but tensorflow is more easily deployable in the real world As an ML researcher I love pytorch personally and can't recommend it enough but tensorflow has its upsides too

@genzprogrammer

Жыл бұрын

@@Imperial_Squid Never tried Tensorflow before. Can I ask you something?, Which is more compatible with mobile devices. Tried pytorch with coreml and onnx. As ML researcher, which one do you prefer in case of Mobile/Edge devices

@Fighter05

Жыл бұрын

Tensorflow has been around a lot longer. Its why its used in industry. It recently combined with the Keras library and got a lot of functionality from that. Pytorch itself is much newer and is used today more so as a way to build models. A lot of people, myself included prefer Pytorch for its usability. I personally think Pytorch is going to surpass Tensorflow because the magic of deploying a model has been demystified for awhile now. Its all about applied model accuracy; preventing overtraining etc etc. This is just flat out easier with Pytorch. Integration of a model with an API really is not an issue today.

@gabrielblanco2969

Жыл бұрын

For deploying I'd had to say Tensorflow... Buf. I'd rather go with Torch. Sometimes not even the toy examples from TF doc works. Too much change from version 1 to 2. I'd stick to Torch

The best video tutorial on PyTorch I have ever seen. All the courses on this topic are so complicated but your video is an amazing one. I learned more than I have in a year. Thank you so much Fireship!!!

It's Impressive that You Have Knowledge/Intuition in Many Field. Keep On!

Now I'm ready to start my Data Science career. Thank you Fireship!

I was just about to request this one! Thanks a lot!

Always great info on this channel. Thanks!

The code looks so much easier to understand then I expected. That's what makes me so excited and scared to even try this kind of thing.

Thank you for a brief overview, It was so helpful.

Great video! :) I.think it would be important to add the backforward step in pytorch so people could see the complete cycle of training a NN.

The data you provide is invaluable when it comes to keeping me up to date with the tech around me. As a developer, I can't thank you enough.

Keep them coming! I love these 100 second videos!

Learning PyTorch currently and it was nice seeing you make a video on this topic.

Wonderful video!!! I would love to see Scala in 100 seconds next :)

Interesting video. Keep up the good work 👍

This is the only channel I have the bell 🔔 for notifications because of its pure quality of content 🔥

Great little intro to CUDA in here! Would like to see a video giving an overview on GPU layers (AMD ROC and whatnot), and maybe the associated hardware situation right now. CUDA/NVIDIA gets way too much press, it seems.

Alright man. Seriously? You have my computer bugged don't you? I swear, every god damn side project I start the next week we get a video with perfect relevance. I love you

Very good and concise explained, as always ^^

I just started learning pytorch and here is Fireship!

Always look forward to these videos

Great Video. Amazing demonstration of deep learning in Tesla Autopilot!

Wow i thought i will learn pytorch but now i have learned neural networks as well as pytorch. Thanks!

It amazes me to how much I can grasp in 100 seconds compared to what I might learn in a semester.

@tropicaldog430

Жыл бұрын

Nah you must be joking lol

@3kelvinhong

Жыл бұрын

@@tropicaldog430 it can be real, education in school don't teach very well especially on relatively new tech like this.

@lottexy

Жыл бұрын

you're not wrong tbh, if you go to a garbage school then yeah, any youtube video is better than your semester at your school.

@gianovici4008

Жыл бұрын

@@lottexy I go to the toughest school to get into. I go to IIT Kanpur which is like Indian MIT. Where I study statistics and data science

@MagnuSagus

Жыл бұрын

But this does not teach any theory or reasoning as to why you would do certain things. And what the effects of these things are. But I guess if your school is trash, then you probably learn more here.

i really love this feeling of knowledge flowing through my brain, and none leaving after 2 seconds

@user-hs4zz1pq3i

7 ай бұрын

let me cry a bit

This video is a most excellent example of how to summarize!!!

For all both of us out there using Haskell, there is an implementation of Torch being developed for the language called HaskTorch.

@Alexis-hj6ci

11 ай бұрын

Also exist other for Tensorflow.

i have no idea what i'm hearing but i'm definitely excited about it

We need a full length tutorial on PyTorch!

Just what I needed.

The timing of this video couldn't be any better because I'm working on some AI project with Pytorch right now :)

@John_Versus

Жыл бұрын

Haha me too. I am downloading the ai models for the first time at this time just before the video

@valentinoedits1963

Жыл бұрын

Just curious, what are you working on?

@BlueEighthNote

Жыл бұрын

@@valentinoedits1963 some analysis about anime music cd sales

@yozhis1

Жыл бұрын

now everything have that AI badge. you worked on web3 project before, right?

@isaiahcastillo898

Жыл бұрын

@@BlueEighthNote i want to get into AI where do I start, already learning from coursera.

You summarized about 2 hours of Google searching in about 100 seconds. Nice job!

Book recommendation: "A Primer to the 42 Most commonly used Machine Learning Algorithms (With Code Samples)."

You are an amazing teacher♥️ Please don't stop making these kinda videos 🥹♥️♥️

Hello @fireship, Can you please make a video about the python framework "flask" ? I am still confused about the functionalities and benefits of flask.

This is what I've been waiting for

video is wonderfully useful.❤

Keep it coming.

this video was so comprehensible i totally know what you're talking about.

waiting for this one❤

Damn... started learning PyTorch for an interesting faculty, and you are here from the blue. THX for the vid, Torch really deserves more audience.

FINALLY! FINALLY! FINALLY! FINALLY! FINALLY! Thank you Jeff!

Looking forward to more AI stuffs! Keep up the good work!

I have no idea what you just said, but I loved it.

I understandthe words you used individually but strung together i got lost, still loved it

Finally I can say you read minds and released a video about something I just started learning

Video Suggestion: Tensorflow vs Pytorch😊

woah, got an ad with your voice before this video, really trippy

Fully utilized those 100 secs

HAHAHA the tesla autopilot snippet killed me 😂 great vid man ❤

Can you make a series on the youtube API? I wanna use it to auto-add technologies to my resume whenever you drop a new video.

Amazing video!

Love your videos ❤

This is brilliant

well that was more then 100 seconds more information then any videos!

You are the only coding/tech youtuber I know of that talks fast enough to keep my ADHD brain interested. Love your videos.

I think you get way better results for an image classifier if you start with a convolutional layer instead of flattening the input instantly. I havn't tested it though.

@adefiqri8218

Жыл бұрын

Agree, but this video is just a basic introduction to PyTorch in 100 seconds. Introducing the convolutional layer makes the video even longer.

Exciting! I've been meaning to get deeper into pytorch at some point

PyTorch can use CUDA, HIP or plain C++ for it's backends. Meaning it can run on NVidia GPUs, AMD GPUs and use their accelerators, or simply run on the CPU. So not just CUDA

@sa1t938

Жыл бұрын

and also MPS, Apples thing

I would have appreciated a little more at the end showing how your neural network was working, perhaps with a simple UI

0:52 I love these satirical inserts :D

Thanks for this. Been trying to do more than django/flask with python and this is my next learning step

@ninhdang1106

Жыл бұрын

I always consider that ML/AI/Data is the main usage of Python and web framework like Django/Flask is just "hey we can do web dev using Python too!"

@SI0AX

Жыл бұрын

PyTorch is a more advanced version of "Machine Learning". Learning PyTorch without learning ML with scikitlearn is like learning to run without having learned to walk. AI is basically ML but scaled up and with extra algorithms on top, but it still applies ML logic.

@DANJUMA9

Жыл бұрын

@@SI0AX gotcha so go ML first before pytorch. Thanks for the advise

@ 0:19 I think it is meant to say scalar rather than scaler

After learning Pytorch and seeing this vid, it gives every basic info

Within 10 minutes... This video is in recommend feed🔥

0:18 "... tensors, which are basically just multidimensional arrays" cries in mathematics, hearing computer science

finally torch! be careful though, if you move your model to gpu, be sure to do the same for your data :)

thanks. dont stop

I have no idea what Fireship talked about in this video but he made it look awesome. 😂

Pytorch Lightning is what you should use these days. It cleans up the code quite a lot.

@maelstrom254

Жыл бұрын

How?

Please do a video on control version - perforce

As always, straight banger

As a college student who recently got into deep learning with TensorFlow, I can understand and relate to PyTorch. Both are fundamentally pretty similar.

@NergusFlame

Жыл бұрын

The best way to put is is that TensorFlow is a library, whereas PyTorch is a framework. Also PyTorch is just way more pythonic than TensorFlow.

@iheuzio

11 ай бұрын

Tensorflow is more for scaling up with other systems, pytorch is most useful for stationary or researching different models. I find tensor flow much easier to learn, whereas pytorch requires more knowledge and memorization of the syntax. Both are useful for separate things, but you can use them in the place of another, except tensor flow since pytorch does not support a lot of the platforms still. It will support mobile in a couple years fully though. TensorFlow is my favourite one

you litterally can read my mind. today i said it would be my first day learning python since i wanted to learn a language towards neural netwworks and ai... since javascript doesnt do that 💀

Can you make a tutorial on how to pick the right cuda version for use with Docker?

I'TS A SCALAR NOT A SCALER

understood everything perfectly, gonna code skyned

OOOOOOOOOO I GOTTA TRY THIS

can you pls do a short pytorch vs tensorflow video?

I like how it's speeding up ML research but also it's so slow and hard to set up!

I'm dying at the crash at 0:53

love these videos

Amazing!

You're videos are so entertaining even though I don't understand a thing lol

Excellent explanation, Everything went over my head though.

@axtept66666

11 ай бұрын

you're just watching this for fun

Btw, originally torch was library for getting the jacobian of functions

My resume can basically say - I am subscribed to Fireship.

I’m going to pretend like I understood approximately 1 second in this video

I regret using tensorflow now, I had recently tried updating to latest tensorflow and found gpu support was dropped for windows. Now have to use wsdl and other workarounds just to speed up the training.