What are 1x1 Convolutions in Deep Learning?

[@IceTeaYT]

Perfectly Explained! Thanks :)

[@pachecotaboadaandrejoaquin6727]

Thank you for breaking it down so well! Keep up the excellent work!

[@deeplearningexplained]

Hey thanks for the kind words! Will do, I have a few more videos ready for next week :) Do let me know if there is a specific topic or question you would like covered!

[@luisluiscunha]

You made this concept so easy to understand: thank you!

[@deeplearningexplained]

I am glad it was useful :)

[@ismailmohammad128]

Thank you very much ..😊 A very good explanation. Breaking it down into simpler concept. Liked the way you explained how 1x1 conv is networks in networks.

[@deeplearningexplained]

Glad it was useful :)!

[@Tntix3]

great video!

[@deeplearningexplained]

Glad you enjoyed it🌹

[@rafa_br34]

Very useful indeed, I just think the 3D representation could be a bit better (I'm used to seeing the filter rectangle behind the first layer and not on the side, but that's probably just me)

[@deeplearningexplained]

True, it’s titled by about 90 degrees. Otherwise the 1x1 convolution wouldn’t fit well in the image I believe.

[@JuliusSmith]

Shouldn't we call it a 1 x 1 x Cin convolution?

[@deeplearningexplained]

That would indeed be a less confusing name for sure. That thing already have like 7 different names though haha

[@HeyySujal]

I like your explanations, but Im watching it randomly As I'm beginner, where should I start?

[@deeplearningexplained]

Glad you liked it. It’s the second time this week I had this request for where to start in deep learning, I’m setting up a video on that topic will publish soon!