@niyongaboeric

I like the introduction video as I could see how you can use Pytorch to train model, visualize results and deploying in production. You helped me and I just want to say thank you.

@davidmurphy563

Obviously this is a year old and the narrator probably won't see this but a zoomed in view would make this infinitely more accessible on mobile. Great video regardless.

@mosa36

The colors make it really hard to read the slides

@nicolasaragon1078

I found this helpful. Thanks for sharing this tutorial!

I found a problem in the Autograd section, which could be corrected. I'm using Pytorch2.1.1 and it seems that `loss.backdward()` requires that the tensors get constructed with `requires_grad=True`.

I checked the documentation and it seems that this is the default, but it didn't work for me until I specified the value explicitly.

@Yilgrimage

It really help a lot!😀

@istvanszepesi-nagy2516

nice "how to read the text" tutorial!

@angelsancheese

Thank you for the video

@deehzee

Very hard to read the slide due to unfortunate choices of font colors (no contrast)

@emrek1

I think in code segment 6 the first line should be r1 = (torch.rand(2,2)-0.5) * 2 
otherwise it will be equivalent to r1 = torch.rand(2,2) - 1

@PRonYouTube

Is there a typo ~ 15:10 when the image normalization is done? if we're seeking to achieve an average of 0, shouldn't the first tuple passed in be (0, 0, 0) instead of (0.5, 0.5, 0.5)?

@chucksaber8332

loss.backward()  does not compute at 9:42 lol

@user-or7ji5hv8y

Audio volume is a bit low.

@RajarshiBandopadhyay

Is it just my machine, or is this video kinda dark?

@natnaeldaba7317

Great video! Thank you. Just a quick question, shouldn't the add node be connected to the h2h and i2h nodes instead of the MM nodes?

@interesting_stuffs

good videos but audio quality in these videos is very poor, anyway to improve it?

@scaredyfish

16:54 I get an error on dataiter.next() - next(dataiter) works

@samrasoli

useful

@user-or7ji5hv8y

Does PyTorch have something equivalent to TensorFlow Probability?

@emmanuelakpet4735

Am I the only one that feels the display brightness is too low?

@josechavez8754

HI, I get this error when runnung the dataset notebook. "URLError: <urlopen error [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: certificate has expired (_ssl.c:1123)>" Can it be fixed?