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Planning Notes·제품에 대한 소고

Spotting CNN (Convolutional Neural Network) Structure in an Everyday Scene

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I happened to be in Chungmuro and walked into a Baek Jong-won restaurant, a hamburg steak place barely five or seven pyeong wide.
It was packed, as expected. But thankfully I managed to grab a seat inside.
So I sat at the narrow bar running along the window, waiting for my food. Looking out the window, I happened to notice something.
A lattice-patterned sticker was applied to the glass, and I was looking outside through that sticker..

And in that instant
I went "Whoa, this is insane" and started taking photos and shooting video.
If someone saw me, they probably already thought I was out of my mind. Not that it'd be far off lol
Anyway,
one of the photos I took is this one.

And since a single photo felt like it wouldn't be enough to recall the memory later, I also shot the video below.



So.. by now, those in the know might already be with me. hehe
It resembled the structure of CNN, Convolutional Neural Network!!! Wow, amazing

Fig. 1: Convolution processing steps, source: http://deeplearning.stanford.edu/wiki/index.php/Feature_extraction_using_convolution


Each cell of the sticker grid, depending on the viewer's angle, seems to show only part of the target, but when that part is zoomed in, the whole image is contained within it. And tilting that angle just a little reveals a very wide space. What we can see with our eyes has limits. Much like mental arithmetic. But calculators are different.
Of course, the grid pattern I saw is not "==" (exactly equal to) CNN. But
if we assume the viewer is a computer and it could analyze each grid cell by shifting the image distance and angle, wouldn't it be possible to construct a more three-dimensional kind of AI? That's the thought I'm having. And by the way.. in that lazy interval between taking the photos and writing this post, I happened to learn about Apple's Gaudi project.
https://github.com/apple/ml-gaudi

GitHub - apple/ml-gaudi

Contribute to apple/ml-gaudi development by creating an account on GitHub.

github.com

On that page,
look at the Image conditional generation section..



So, exactly what I was saying.
Impressive..






REF. About Convolutional Neural Network - http://taewan.kim/post/cnn/

CNN, Convolutional Neural Network Summary

A summary of Convolutional Neural Network, CNN.

taewan.kim

This English version was translated by Claude.

친절한 찰쓰씨
Written by
친절한 찰쓰씨

Pleasant Charles — UI/UX researcher at AIT. Keeping notes on design, planning, and slow days here since 2010.

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