Incredible explanations!!! Wow the way you’ve condensed the information and then packaged it with the lovely animations to send it straight to intuition space :)
Thanks man. But I'm want to point something out. I might me wrong, but: After passing the image through the 3 layers, each layer reduces the size of the image (width, height) of the feature maps, which are not shown here. In the video, you didn't show the feature maps getting smaller.
@@swagatbaruah522 Hi ! The layers do reduce the size of the features maps if you don't add padding. Here you can assume that everything is zero-padded to preserve width and height. :)
I try to reproduce visualisation of effective receptive fields 8:15 I am using TF and Torch, but don't know how to manually back propagate the output with one white pixel. Would You like to share the code or give me a hint?
Hi thank you for the kind words ! Unfortunately I'm working on the next video and need a bit of time to clean up the code before publishing it on github. However, I created a small gist for you with the notebook I made to create these specific visualisations, enjoy. :) gist.github.com/Tmodrzyk/be07c3f91fbabf3aebb3e6ff0d3971ac
I'm anxiously waiting for your next videos. Would you mind sharing a little as to how you actually generate the graphics for your videos? How long does it take you to produce one of the 10-15 minute masterpieces?
@@voncolborn9437 Hi thanks for the kind words, don't be anxious though aha ! I mainly use Manim, a little of Blender for the 3D animations and then video editing with Da Vinci Resolve. It takes around 60 hours to produce a 15min video. Hope this helps !
this video is a hidden gem! may you get blessed by the algorithm soon!
Thank you !
Amazing, nailed the 3Blue1Brown style!
Thanks a lot :)
Incredible explanations!!! Wow the way you’ve condensed the information and then packaged it with the lovely animations to send it straight to intuition space :)
Thanks !
This was a great delivery of the subject , thank you!
I'm amazed by the quality of this tutorial!!!
This is the most underrated channel i found
Thank you :)
Thanks man.
But I'm want to point something out. I might me wrong, but:
After passing the image through the 3 layers, each layer reduces the size of the image (width, height) of the feature maps, which are not shown here. In the video, you didn't show the feature maps getting smaller.
@@swagatbaruah522 Hi ! The layers do reduce the size of the features maps if you don't add padding. Here you can assume that everything is zero-padded to preserve width and height. :)
Underrated treasure! Guess math formulas on the cover really scare people away?
Thank you ! I'll try not to include them in the next thumbnail aha
A video of all of the top CNN based CV models would be great, like Alex net etc
Excited to see whats coming next😮😮😮
Thanks :)
Thank you, very clear!
@@ocamlmail Thanks
amazing quality thanks !
Thanks !
Just amazing! 🥰
Thanks !
Very nice video !
What if you use dilated? How will the effective receptive field change?
@@0810signor things get a little weird with dilated convolution ! The receptive field increases faster but is more sparse
I try to reproduce visualisation of effective receptive fields 8:15 I am using TF and Torch, but don't know how to manually back propagate the output with one white pixel. Would You like to share the code or give me a hint?
Hi thank you for the kind words !
Unfortunately I'm working on the next video and need a bit of time to clean up the code before publishing it on github. However, I created a small gist for you with the notebook I made to create these specific visualisations, enjoy. :)
gist.github.com/Tmodrzyk/be07c3f91fbabf3aebb3e6ff0d3971ac
@@Deepia-ls2fo OMG I love You so much and keep my fingers crossed for your channel!!!
I'm anxiously waiting for your next videos. Would you mind sharing a little as to how you actually generate the graphics for your videos? How long does it take you to produce one of the 10-15 minute masterpieces?
@@voncolborn9437 Hi thanks for the kind words, don't be anxious though aha !
I mainly use Manim, a little of Blender for the 3D animations and then video editing with Da Vinci Resolve.
It takes around 60 hours to produce a 15min video. Hope this helps !