how to do it but with a different dataset besides, cancer, iris or wine?

Hello, if you ever continue this series, can you also do t-SNE? I tried implementing it but it doesn't work as expected on large datasets

Brilliant! Hands down, the go-to for learning PyTorch.

Fail to download the MNIST dataset, Is there anybody faced the same problem? How can I fixed it?

if you're developing in a remote server, the only difference is that you use ssh to connect to the docker?

Great walkthrough 💥

Hi Patrick thank you for this Tutorial . I have an instance on Oracle OCI under the name PyTorch - Ampere® Optimized Framework - Ubuntu 22.04 is taht also the same? It needed by default 500 GB Boot volume. Is that really needed?

Thank you so much

You do not know how to teach

Other free option is oracle cloud

When I copy the custom model and run, "TypeError: LinearRegression.__init__() takes 1 positional argument but 3 were given" occurs. I check the code line by line, I promise there's no typing mistakes. Is there anybody can help me out?

Sir why are you not showing the data and the features?

Why did you use an activation like softmax for the last layer since you are doing classification? I tried that and my probability were negatives. If you use the softmax at the last year you get the right probability for each class

what function can be used in R istead of praw? Great video btw, ty!

very good explnation

Thanks a Million, for giving so much value. This helps me to take leaps rather than steps.

Thank You So Much for This Amazing Lecture 🥰 Completed The Lecture Video - 5 on 20/11/2024 ✅

Bro I made a more advanced version with accurate prediction of 200 stocks so can u collab with me

simply awesome!

Bro straight up yapping without setting up the basics to understand

😮🎉🎉

What a great tutorial! Thanks for sharing this!!

How to generate image response

Awesome to see this as a video - I am re-learning pytorch after a long break and wondered if anyone had covered this tutorial

11:39 He ment direction right set to one not dangour right, meaning the snake moves to the right,

is using negative values other than -1 not allowed in the view function?

if I use django, makes sense to use supabase?

need code explination please . Vedio explination link please

Y_pred_good = torch.tensor([2.0, 1.0, 0.1]).unsqueeze(0) in case it's not working

Logistics regression is not sensitive to the magnitude of variables. So standardization may not be needed

Thank you sir for creating such amazing blogs and videos about python. I really use them alot while giving job interviews!

what combination do you think is best to learn for newbie?

Hi Patrick, can I start learning this tutorial directly on Google's Colab, without the need for all these installations?

can i do the same process with csv Question \ Answer file ?

9:43

9:11

Are you from Denmark? I'm hearing a Scandinavian accent, maybe Norway? Sweden?

Great video on the topic!

hey Patrick really like the way you teach! I also learned ml and some concepts of dl from your videos thanks a lot <3

The chap chap gulping is kinda irirtatiing😑

The entire content and Speaking are done through AI voice and few screens are incorporated manually.....

Regarding Django, the way I feel about it is a 10 Guy meme: How complex do you want this project to be? Yes.

How does gpt work? Is it like that

what algorithms used in this tutorial? thanks!

Merci (:

why do you talk zesty

Really. Four ads in 11 minutes? Double ad at that.

I'm here at end of 2024, is this still relevant?? BR

how about creating a sitemap generator? is it possible there since it needs server-side to create sitemap generator.

Something crazy I learnt the hard way: >> lst = [] >> print(lst) # you may think this will return False but surprise! >> True