PyTorch vs TensorFlow | Ishan Misra and Lex Fridman

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Ishan Misra is a research scientist at FAIR working on self-supervised visual learning.
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Опубликовано:

30 сен 2024

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Комментарии : 52

@ogrendang7810 3 года назад

Asking a Facebook employee about pytorch vs tensorflow. 🤔

@ghostman3329 Год назад

Yup ..

@kidzeus2433 8 месяцев назад

Lol

@niranjan_7891 6 месяцев назад

They make the largest no of open-source AI models so why not.

@niranjan_7891 6 месяцев назад

They have currently 1907models.Refer Hugging Face

@2dapoint424 2 месяца назад

😂

@BapiKAR Год назад

PyTorch is what I made a transition to from Tf2.x(x>=7). So far I see it quite cool & friendly to research community. And yes, I converted my entire TF code to PyTorch in less than 2weeks.

@Fordance100 Год назад

TF usually has some features 1-2 year ahead pytorch. Pytorch is more flexible for tweaking the model. TF2.4-2.6 was very buggy with strange errors that took long time to fix. That was the time I switched to mainly pytorch. I think TF is better now.

@StEvUgnIn 4 месяца назад

That pretty much sums it up

@sidgirase Месяц назад

Your reply was a year ago but you seem to be very familiar with the 2 frameworks. I am starting out with one of the two. I am interested in vision based research and academia. Which one should I pick? Thanks in advance!

@Fordance100 Месяц назад

@@sidgirase Pytorch

@carlossegura403 3 года назад

PyTorch’s source code is elegant and well thought out.

@noli-timere-crede-tantum 2 года назад

In other words, TF's source code is complete garbage with no forethought taken? Jeff Dean just sat down one day and started typing until a framework emerged. Got it...

@cristian-bull 2 года назад

@@noli-timere-crede-tantum Pytorch's source code is more elegant and better thought out.

@noli-timere-crede-tantum 2 года назад

@@cristian-bull I'm sure you can give examples of that, as well as examples of when TF's source code lesser elegance makes it less effective at run time or solving a bug or adding features?

@generichuman_ 2 года назад

@@noli-timere-crede-tantum When someone tells you they like pepperoni pizza, do you say "oh... so what you're saying is that ham and pineapple pizza is garbage?!". No one is saying what you are accusing them of saying. Here's a better, more productive pathway. Why don't you tell us why you think tensorflow is better, instead of asking everyone else to do that for you.

@manny7662 Год назад

@@generichuman_ would PyTorch better for startups?

@GChief117 Год назад

PyTorch has more applications over tensorflow

@perceptron5983 Год назад

Both are great. TF with Keras has better performance, strong community support and robustness 👍PyTorch better for research and experimentation. Easier to use and debug since is more pythonic. Better Dynamic computation graph. Easier to deploy on web and mobile. Your choice will be determine on: use case and developer's preferences.

@GChief117 Год назад

I mean there are more applications with PyTorch for computer vision purposes over tensorflow

@stephennfernandes 3 года назад

Pytorch Forever 🔥🔥🔥 ... I know the XLA TPU support isn't almost there yet but yeah Pytorch 🔥

@anmolmonga1933 2 года назад

Using TPU very niche thought

@davisonyeoguzoro9232 6 месяцев назад

Now ask a Google employee the same question

@Ikaikaalika95 Год назад

pytorch is more intuitive for SWEs, tensorflow is killer now with the keras integration

@abrahamsong6913 6 месяцев назад

RIP tensorflow

@MrEmbrance Год назад

jax

@gorgolyt Год назад

Pretty useless clip tbh, all he says is "I prefer Pytorch because I've been using it for longer". He mentions that the imperative style is easier to debug, but TensorFlow 2 also uses an imperative style.

@qedqubit Год назад

wow 😀 ! you are diverse in your topics ! luv 'it 😘!

@adityanjsg99 Год назад

Tensorflow...! Great support, model integration and model deployment.

@ritapravadutta7939 2 года назад

After keras integration tf is winner

@MrGeorgetudo Год назад

WHY THE FUCK IS LEX FRIDMAN TALKING ABOUT MACHINE LEARNING

@hailongnguyen7176 2 месяца назад

He is an AI PhD

@ravipratapmishra7013 6 месяцев назад

For me pytorch can give you more granular control with small learning curve, but when it comes to deplotment and documentation tf is way ahead.

@BobF510 10 месяцев назад

This content is incredibly moving. I read a book with akin material that reshaped my worldview. "AWS Unleashed: Mastering Amazon Web Services for Software Engineers" by Harrison Quill

@totheknee Год назад

More like collaboration than competition. The open source _COMMUN_-ity shows how a _commune_ environment that _shares_ resources can be so vastly superior to the capitalistic wealth redistribution scheme, it isn't even funny.

@tashinahmed5745 2 года назад

doesn't answer the question at all :|

@noli-timere-crede-tantum 2 года назад

I think his initial disclaimer completely disqualifies him from answering the question. If he hasn't built something meaningful in TF2, how can he make any comparisons whatsoever?

@chillydoog 2 года назад

read between the lines

@generichuman_ 2 года назад

@@noli-timere-crede-tantum Have you used Pytorch?

@BobbyDaBunnyRabbit 3 года назад

Tensorflow is bread and butter

@generichuman_ 2 года назад

so it's boring?

@arods 2 месяца назад

Very respectfully, but it's quite hard to understand what he is telling.

@os2002n77 Год назад

I like calling pytorch imperative! Because it you would understand machine learning in better way! Unlike declarative approaches similar to Unix like command and SQL you give it a command or query and it would run. Even through that Tensorflow uses procedural language, coding with it similar to declaring command. And static graph structuring making it difficult especially for beginners debugging code!