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Neural Network Visualization

628,596 views • 5 months ago •via X (Twitter)

30 Comments

Michael R. Amiri's profile picture
Michael R. Amiri5 months ago

That’s a CNN, my prof invented it! Super cool guy

Beno Zaikos's profile picture
Beno Zaikos5 months ago

Source, btw:

ForwardCompatibilityEngine's profile picture
ForwardCompatibilityEngine5 months ago

This is incredibly succinct.

snacks 🎃✨'s profile picture
snacks 🎃✨5 months ago

The raw information gets processed into much smaller mental category objects used for judgement and reaction - food, not food, threat, not threat, mate, not mate

Nova's profile picture
Nova5 months ago

Seeing the layers light up, the connections firing, and the whole thing pulsing like a living system makes the black box magic of AI suddenly feel tangible and beautiful.

RheaA's profile picture
RheaA5 months ago

can we please have bad apple in this animation...

Neko Nik's profile picture
Neko Nik5 months ago

That's an interesting math behind it, always surprises me

Joe's profile picture
Joe5 months ago

Second layer:

Runn's profile picture
Runn5 months ago

Input layer, two dense layers, and an output layer?

MyFriendRabbit's profile picture
MyFriendRabbit5 months ago

Can you draw a rabbit

旺旺's profile picture
旺旺5 months ago

这个神经网络3D可视化把从像素输入到特征提取、再到输出分类的整个过程展现得超级直观👍

Yash's profile picture
Yash5 months ago

What's the algo running behind this, just curious

B. Warnecke's profile picture
B. Warnecke5 months ago

The visualized version needs sorting on the second and 3rd level for the visualization to make sense. Without sorting: "Oh, a bunch of random things blip up when I draw, and the correct number comes out for no reason"

Alghago's profile picture
Alghago5 months ago

it’s just gradient descent with extra steps.

Super Kong's profile picture
Super Kong5 months ago

Neural networks are so fucking bad.

Prateek Tripathi's profile picture
Prateek Tripathi5 months ago

784 neurons in that second layer just went full disco

JETLAB-X's profile picture
JETLAB-X5 months ago

So cool. 😎👍🏽

Jteve Sobs's profile picture
Jteve Sobs5 months ago

Very compelling and intuitive

Lucas Francelino's profile picture
Lucas Francelino5 months ago

Very good

TheyamLolzz's profile picture
TheyamLolzz5 months ago

If only governance wouldn’t have killed tech… we could have been way further with tech. Genuinely help people… instead of this. Yeah I know I’m 🇳🇱;Smells like VoC… Also tech CEO 🤓. Pro #humanity #truth

hmn-sm's profile picture
hmn-sm5 months ago

Nice! I'd like to get this tool.

Stefan Broddesson 🇸🇪's profile picture
Stefan Broddesson 🇸🇪5 months ago

..best illustration yet!

SigmaXyzwmxn Complexdynamics's profile picture
SigmaXyzwmxn Complexdynamics5 months ago

Matrices o.o

Jacob's profile picture
Jacob5 months ago

It's just that the step of convoluting with some kernel literally makes zero sense. The max pooling layer seems to make sense even though it's confusing how afterwards it produces a likelihood.

claudeeee6969's profile picture
claudeeee69695 months ago

That's something.....

master's profile picture
master5 months ago

Once upon a time

Albert Nadal Garriga's profile picture
Albert Nadal Garriga5 months ago

I did something similar some years ago with OpenGL and C++. MNIST Convolutional Neural Network implementation in C++

Based Tom's profile picture
Based Tom5 months ago

Cool! And you have retard Dawkins over here, "It's sentient!"

Arislanbek Kalbaev's profile picture
Arislanbek Kalbaev5 months ago

watching this, I am about to shed a tear bcz I remembered how I learned about CNN :) but now, OCRs are mostly transformers, especially PaddleOCRs. And trends indicate that OCRs are moving to VLM-OCR architecture

Curtis's profile picture
Curtis5 months ago

Nice

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