good work mate.I had this idea of blending health and AI for a job, but I didn't go all in. Now I'm shooting for a corporate role as an MLE, and props to that bold dude who took the plunge into starting his own business!

Actually amazing

Sir I am from Pakistan and i have taken your PyTorch course ztm, it was the best and very sweet course specially I am like your teaching style and method Sir now i want to do a remote internship could you help me, as a ML engineer or DL

Till Day 2: 36:28 - Completed Different Learning Paradigms

Amazing !

Hello, thanks a lot for this great course, are there new courses with more updated enviornments? I'm looking forward to get into learning ML deeper, thanks again! I think this course is a very nice starting point for further learning.

Can't believe I started humming your train loop song LOL

KZbin is trying to make us wear coding socks in our sleep

10:57:22 , 11:40:00 , 12:00:00

Are you guys building something lie Vivino for food?

Big things starts small!

me: pizza,steak,sushi

My guys got the algorithm on auto next on lock

ahh.. is that bo oh wo ah? innit?

Fell asleep in Amelia Earhart, woke up here. Is the ai trying to send a message? Please respond

Yo! This aint on play store?

Thanks once again

how about math?

seems like alot of sleepy people ended up here lol

Hi Daniel, thanks for this great intro to PyTorch. It has been a big help. One question I have: How do you have an intuition for when to use squeeze/unsqueeze? Does tracking the number of dimensions and which methods can/can't handle an extra one become 2nd nature?

Simply amazing, nothing more to say, a push that I need to keep studying ML at 51.

Really appreciate the great material 🔥. Very complete and informative. I'm currently at section 120 . For any one who wants to learn better, try to code alongside and try to write the codes before watching the next section if you can. Also reading the extra sources mentioned in the video can help a lot in understanding the concepts more deeply. When I finished I'll tell my opinion on the whole course.

this video especially suit for student like me

I feel asleep too,seems it's part 2. Did I watch part 1 too😮

Is there any updated video now or this is still relevant

in my place, that rice cake called raginang

As an AI engineer at a Japanese company, I was able to put so many concepts into practice thanks to this incredible video. Without a doubt, it’s a masterpiece! What an amazing contribution to the deep learning community. Thank you, Daniel - fantastic work!

I think the real comparison would be to take the m4 max with 128 gb or even 64gb of ram and compare it to the Nvidia chips. Basically, can a mbp compare because we know the base configurations are going to get smoked by nvidia.

You're adding a lot of babbling, get to the point "time is gold"

Just completed the whole 25 hours + video. Best and easy to learn source. Thanks to @mrdbourke

Finished the whole 5:40min Hours. thank you so much for sharing this video. I have tried the RAG system on some of the Geostatistics books that I have and it comes up with really good results. if there are any advanced topics on improving RAGs please share them. I found that the code sometimes have a hard time understanding difficult concepts and just ignore them. my assumption is the embedding can be improved to include better understanding.

This guy is game changer really...........

PLEASE update for M4

I come from a videogames video. Da fuk?

The most mind-blowing thing learned from this video is that a day has 25 hours😂

0:55 A Dance with Dragons, the best ML book out there

love u bro

Hello there. On chapter 2, video 64, you converted the data into tensors. Next, you performed training and test splits using sklearns train_test_split. Question: tensors work in sklesrn? I thought sklearn only works with arrays. Sklearn documentation doesn’t state allowable inputs to be tensor. But it does say “lists”.

Can’t believe I finished a 4 hour coding session in my sleep picturing my friend lecturing a full on coding fundamentals and I was forced to sat in a seminar listening to this in my dreams

Daym! Bro really did a ML app launch speedrun fr!

what a time to be alive! massive respect to creators. Also bought ZTM's paid course.👍 It's worth it. Thank you sir!

This is basically SILICON VALLEY (Hotdog / Not Hotdog)....

Thanks a lot for this masterpiece

GOAT

I just read the blog post, felt like you talked to me, thank you man thank you

How did I end up here I was watching how a horse works

I study AI eng, and now i don't want to be that xD

This is my dream!

such a good video

12:42:06