ConvNet beats Vision Transformers (ConvNeXt) Paper explained

[@williamashbee]

You're clearly very knowledgeable on these topics. Hopefully your channel blows up. 😊

[@soroushmehraban]

Thanks for the kind words! Hopefully I’ll post better videos in future.

[@nadhembenhadjali9063]

Nice explanation ! thank you so much !

[@buh357]

This modified resent has same architecture as efficientnet. Depth wise convolution, inverted block.

[@phattailam9814]

Thank you very much. This is very helpful

[@soroushmehraban]

Glad you liked it

[@user-ui5dg3nr3r]

usefull

[@duongbinh23]

Love your content

[@soroushmehraban]

Thanks!

[@az-vv3mg]

Great video thanks.

[@soroushmehraban]

Glad you enjoyed!

[@suesarnwilainuch8429]

deformable convolution and attention please🔥

[@soroushmehraban]

I read those papers and prepared slides almost a year ago. I will post a video about them if I couldn't find anything more interesting 🙂

[@alihadimoghadam8931]

🤘❤

[@deepsingh274]

Hey your content is very good. Can i connect with you?

[@soroushmehraban]

Thanks! Sure my LinkedIn name is same as my channel name.