PyTorch Course (2022), Part 1: Tensors

[@Eighty_80_WAW]

Interesting. Good job. "They want to teach you too much too fast". exactly

[@martindf6831]

I'm starting my master thesis on physics informed neural networks and this content it is just what I need. Keep going!

[@lakshyavaibhavdatta9098]

Dude, this is awesome. I hope the vision of this series stays as you make newer videos for it. The intricate explanations are what distinguish this from all the stuff out there, and I've been sharing these around. Really waiting on more of this content. So much insight :)

[@zukofire6424]

I'm starting an internship where everyone's really better than me, so this is very helpful, thanks, love ur explaining.

[@tlk1432]

Looking forward for this series!!!

[@MrPSolver]

Looking forward to making more! Part 2 on Thursday :)

[@AlinNastasa-w5q]

This Is the best content I ever saw on tensors! i tried learning this from everywhere i could, but even though i got that tensors are multi dimensional arrays, i never understood why they work and why we use them for math operations in machine learning, your examples help me make that link in my mind, you just won a life long subscriber!

[@envision6556]

sat and watched all of the videos of the PyTorch course last night, you were the only one who really made me understand the mechanics you would make a great teacher, well done, really enjoyed them. I know you can only do as many tuts on Pytorch but, 'we want more', 'we want more' :)

[@leonackermann3098]

You´re tutorials are the best dude. I´m watching all of your videos right now. Greetings from Berlin!!

[@Piipolinoo]

You are a legend. I've been watchting your videos since the very beginning, and it get's better and better! Keep up the amazing work and think about a patreon at some point :)

[@GoodLife-ru8di]

I'm pumped! Keep them coming...

[@existentialcrisis7780]

This is the best video I've watched about tensors, keep up with the great work

[@Manish-qt1bz]

You teach the coolest implementations of python on whole youtube.. its fun to learn with you.❤👍

[@richinex]

You are the best. The content, energy and inspiration you provide are invaluable. looking forward to this series as I am also experimenting with pytorch.

[@jay89boy]

great Video hyped for the Series and all you do

[@MutleyXIII]

Hi Mr. P! Thanks for this video. I've seen you since you started, and now you are getting more advanced. Hope you keep it up!

[@vidyasagar-wp5hc]

I love the way you teach .. i have seen many videos but they either try to cover hard part skipping simple part or teach so simple that people think they know too much but they skip that part people are not able understand. I love to watch your video and wait for other videos too. i believe after watching your videos , machining or AI is just a implementation of statistics, nothing else. but people are earning too much because of this course. machine learning or deep learning as i have read till now . i feel these are implementation of statistics .(predicting, calculating loss, then optimize weights and these whole process done again and again to achieve the desired output) means best fit of curve.

[@vvk47]

I love this guy!

[@MrPSolver]

Do it!! And share it in the discord :)

[@jakubszkudlarek5451]

Best birthday gift. Keep it up bro!

[@calebwhales]

I love this video and approach so much. It's entertaining enough to watch in an Uber ride.

[@farukyldrm8498]

19:10 for the mean/sum (any aggregate operation) "across" terminology, when I see the 4 dimensional version, it sits better. I understand it like: it collapses the dimension you select into length of one. if it was the other way around like aggregate over all other directions and keep the dimension you select, it woud become a little bit useless.

[@wingsoftechnology5302]

Looking forward for this Series....Awesome explaination Thanks & plz keep going ....

[@marktsh]

Wow amazing video. It is the best video I ever seen about Pytorch and Deep learning

[@virajdesai0309]

This guy is a true inspiration for me I started my coding journey from his channel

[@guyfromthefuture.]

Already enjoyed a lot of you contet and really looking forward to this series! About to start research in the imaging area and dive into Pytorch after doing a little bit of work with tensorflow. Got the feeling that his will be great series and a high quality resource!

[@rankinstudio]

Your tutorials rock dude

[@jakubmaliszewski6013]

Amazing work!

[@pythonixed4448]

This is going to be good. Thank you!

[@bot5am]

His rap intros are the best!

[@TeeRMN]

Wow that rap was awesome!

[@LearningWorldChatGPT]

Hello Mr. P Solver! I'm following your videos and they are fantastic ... excellent didactics. Thank you very much for sharing your knowledge! This series, about Pytorch will be phenomenal!

[@walkerbutin5171]

Amazing vid. Preciate it

[@user-du8hf3he7r]

The equation at 23:11 sums the cubes of x, not cubes the sum of x.

[@danielepadovano6192]

Not gonna lie, you had me in the first half (with the rap)

[@KeringKirwa]

Please visualize operations across axes in higher dimensional arrays .

[@azrulfyz1162]

well you are a genious in math and could formulate the computation in code term, its fasinating to learn... 😍

[@JustSmile268]

Great tutorial, thank you!

[@eugeneL_N1E104]

Thanks for your awesome serie! many stats applications relies on pytorch as well, other than Deep guys. maybe some MLE/EM with auto grad applied inside could be interesting XD

[@poreh6262]

pytorch part_2 is not playing! why?

[@MrPSolver]

Accidentally made it public yesterday, it'll come out Thursday!

[@SparshGarg-n8e]

Thank you so much!

[@amirabbaskarimi4165]

I'm waiting for the rest of it

[@rishichowdary9764]

I think you should develop a complete analysis on pytorch and explain completely about PyTorch all essentials including installation ,where it's applied and what makes it more efficient than other Ml modules. It's sincere suggestion

[@sokhengdin8012]

Great video!

[@poreh6262]

u are the best! D.

[@bigloud7067]

great video

[@user-vt7kt6ny3o]

thank you for this

[@yohanmestre2203]

Trying to think about a 4d matrix, human brain : blue screen

[@freddurstedgebono4589]

epic tutorial!

[@stefanAH97]

👍

[@tilkesh]

Thanks

[@eitancohen8717]

I can follow all this series by working in google colab?

[@itaylavi2556]

Don't know why, but I'm getting strong Jordan Peterson vibes from this guy. Maybe it's the way he moves his fingers... Amazing explanation BTW !

[@BoomDeAh]

Dude, I love your channel, but easy with the ads please... I know its for you and I'm glad your channel is getting bigger but still, I think it's too much. Nevertheless, as usual, great video!!

[@alvarozamudio2011]

Awesome tutorial!

[@mikekertser5384]

Why do you prefer pytorch over TF2?

[@marcelorebazabartra757]

For a second I thought the whole tutorial was gonna be a rap lol

[@MrPSolver]

That's the dream

[@Tensor-An]

Tensors 😎

[@vigneshsuresh5295]

can you make a video on pandas library

[@connorbrown5267]

Only just clocked that P stands for python, after all this time

[@stellarspacetraveler]

Instead of creating your 256x256x3 image using random numbers, make it using torch.ones((256,256,3)). Then you will see the ones in corresponding columns multiplied by your 0.5, 1.5 and 1 scaling factors, which is more instructive. Good course though.