This is quite great!! Implementing various architectures in PyTorch. Please just dont stop with the basic architectures, try to put out videos on advanced content as well, maybe advanced GAN architectures in Computer Vision :)
@anirudhthatipelli8765 Жыл бұрын
Thanks for implementing the architectures from scratch! It is extremely helpful!
@vijaypatneedi4 жыл бұрын
So happy to see you explaining as simple as possible.... please keep making videos on implementing various deep learning architectures using Pytorch.
@AladdinPersson4 жыл бұрын
I really appreciate your kind comment :) More architectures coming up!
@QunFengDaiАй бұрын
谢谢你的视频
@sahil-74734 жыл бұрын
Before watching this, I tried to implement LeNet Architecture myself first and then it works and exactly similar to your class LeNet implementation. Thanks to you, I am able to connecting all the videos of this PyTorch Playlist. Cheers :D
@cc-to2jn3 жыл бұрын
same man! :)
@aquibalikhan69303 жыл бұрын
just a question what is difference between nn.linear and nn.sequential. why you're using nn.linear over here why not nn.sequential?
@sahhaf12342 жыл бұрын
dont we specify an error function and an optimizer like adam? also, dont we specify an initialization scheme like xavier initialization?
@pradumnar8707 ай бұрын
Why the softmax activation is not applied at the last layer?
@Тима-щ2ю5 ай бұрын
because softmax is already in crossentropyloss class
@anonyme1033 жыл бұрын
8:28 I know that feeling bro! Great video, as always :)