Algorithm Researcher explains how Pytorch Datasets and DataLoaders work
This video presents an overview and animation of how the Pytorch Datasets and Dataloaders work. It illustrates the inner workings of these classes, to provide a working model of what is happening "under the hood".
Deep learning model require large amounts of data in order to reach super-human performance. Loading and pre-processing these large amounts of data requires specialized algorithms, to do so in a computationally efficient manner. The Pytorch Dataset and DataLoader classes which are discussed in this video, automate these processes, using easy-to-use interface.
Пікірлер: 19
This is the type of video I was looking for the whole time
@rickymort135
4 ай бұрын
Me too, but I was only looking for it some of the time
To this day, the best explanation on the topic
Wow, amazing content. Great work explaining the concept.
great explanations, thank you!
amazing explanation. Thank you.
Thanks, that was very helpful
Thanks a lot that was very helpful.
Wow you explained it so well. No I am thinking of, how I couldn't understand it before. Thank you
Thank you! very useful!
Thank you! :) ♥
Please create tutorial series on inner working of pytorch
Thank you! Very goodexplanation, Can you please specify the Design pattern used here?
It would be great if you make video on how loaded model is used
where is the next video? :(
Can someone help me with the remaining videos ? , This seems to be a part of some series and I am unable to find it on YT.
@ugestacoolie5998
26 күн бұрын
yeah it seems like it, cant find the rest as well
upload more videos :(