Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

CNN (Convolutional Neural Network) Visualization

interesting_aIl's profile picture

Interesting As Fuck

2,056,351 subscribers

390,097 görüntüleme • 1 yıl önce •via X (Twitter)

EğitimBilim & TeknolojiSanat
LIVE

Anya Rossi• Live Now

Private livecam show

11 Yorum

Motion profil fotoğrafı
Motion1 yıl önce

this is cool #Elon #Zelena #Trump #Entertainment #Tommavi #Helevier #GrandeFratello #Uzaksehir #Shailenzo #Yulioli #Zeudiners #CR7 #BBB25 #NBA #UFC #CTESPN #bbvipal4 #sstvi

Dr Shad Katuu 🌐 profil fotoğrafı
Dr Shad Katuu 🌐3 yıl önce

#blockchain innovations and the contribution of the intergovernmental organizations #OpenAccess

Jason Balazs profil fotoğrafı
Jason Balazs1 yıl önce

That's beautiful

Harry Berries profil fotoğrafı
Harry Berries1 yıl önce

idk wtf I'm looking at, but it's cool.

KOVNAH profil fotoğrafı
KOVNAH1 yıl önce

ok I thought it was the fake news network one

gökhan profil fotoğrafı
gökhan1 yıl önce

What’s your favorite CNN use case?

MsInterpreted profil fotoğrafı
MsInterpreted1 yıl önce

This is so interesting

AJ profil fotoğrafı
AJ1 yıl önce

The visualizations are right there

𝐊𝐞𝐞𝐫𝐭𝐡𝐢 𝐑𝐚𝐣 profil fotoğrafı
𝐊𝐞𝐞𝐫𝐭𝐡𝐢 𝐑𝐚𝐣1 yıl önce

😲

Zero Supremo profil fotoğrafı
Zero Supremo1 yıl önce

sooo a really slow and unnecessary animation to patter recognition.....ok

✨Ray say Rano✨ profil fotoğrafı
✨Ray say Rano✨1 yıl önce

Amazing technology 👏👏

Benzer Videolar

Neural Network Visualization
0:34

Neural Network Visualization

tetsuo

624,884 görüntüleme • 27 gün önce

Neural Network Learning Visualization.
0:39

Neural Network Learning Visualization.

ₕₐₘₚₜₒₙ

117,468 görüntüleme • 2 yıl önce

visualization of a simple neural network
0:37

visualization of a simple neural network

ℏεsam

79,643 görüntüleme • 1 yıl önce

They literally made a Convolutional Neural Network in Minecraft before we got GPT-5.
0:28

They literally made a Convolutional Neural Network in Minecraft before we got GPT-5.

ₕₐₘₚₜₒₙ

2,910,384 görüntüleme • 2 yıl önce

In 1993, the world's first handwritten digit recognition convolutional neural network achieved a major Al milestone
0:27

In 1993, the world's first handwritten digit recognition convolutional neural network achieved a major Al milestone

Historic Vids

475,564 görüntüleme • 2 yıl önce

A peek inside the mind of AI through neural network visualization.
0:25

A peek inside the mind of AI through neural network visualization.

Massimo

60,161 görüntüleme • 4 ay önce

Convolutional Neural Networks in action
0:29

Convolutional Neural Networks in action

ₕₐₘₚₜₒₙ

918,076 görüntüleme • 2 yıl önce

Just for fun, I've implemented a Convolutional Neural Network (CNN) that predicts handwritten digits... Fully using #glsl and fragment shaders! The model exactly has 2023 parameters and its inner activations are displayed as you draw Try it out live!
0:26

Just for fun, I've implemented a Convolutional Neural Network (CNN) that predicts handwritten digits... Fully using #glsl and fragment shaders! The model exactly has 2023 parameters and its inner activations are displayed as you draw Try it out live!

kishimisu

118,358 görüntüleme • 3 yıl önce

Implemented a visualization for the neural network today. This is a neural network being trained to learn the snake game in a terminal. It's built in Rust using Ratatui More input details in thread
1:00

Implemented a visualization for the neural network today. This is a neural network being trained to learn the snake game in a terminal. It's built in Rust using Ratatui More input details in thread

Bones

165,629 görüntüleme • 1 yıl önce

Neural Networks Learning Visualization
0:32

Neural Networks Learning Visualization

ₕₐₘₚₜₒₙ — e/acc

47,276 görüntüleme • 1 yıl önce

Best visual I’ve seen of the inside of a Neural network, a CNN to be precise.
0:29

Best visual I’ve seen of the inside of a Neural network, a CNN to be precise.

Linus ✦ Ekenstam

174,468 görüntüleme • 1 yıl önce

timelapse {#33} - started working with convolutional neural networks - build a custom cnn pipeline on mnist dataset - was using bhindiai all along to explain me the code - speed ran the theory part, focus was main on the implementation
1:00

timelapse {#33} - started working with convolutional neural networks - build a custom cnn pipeline on mnist dataset - was using bhindiai all along to explain me the code - speed ran the theory part, focus was main on the implementation

ShaRPeyE

13,526 görüntüleme • 5 ay önce

Mnist neural network visualization written from scratch in Odin and Raylib. repo: I'm still new to Odin so if you see a way to imporve something, let me know :)
0:29

Mnist neural network visualization written from scratch in Odin and Raylib. repo: I'm still new to Odin so if you see a way to imporve something, let me know :)

Bones

97,754 görüntüleme • 1 yıl önce

Neural Network Animation.
0:33

Neural Network Animation.

ₕₐₘₚₜₒₙ

193,269 görüntüleme • 1 yıl önce

Created a WebGL neural network visualization for the quadruped robot I've been working on. The more red, the higher the activation. Bluer is less activation, while green is a midpoint.
0:37

Created a WebGL neural network visualization for the quadruped robot I've been working on. The more red, the higher the activation. Bluer is less activation, while green is a midpoint.

Brandon

195,703 görüntüleme • 2 yıl önce

Mnist Neural network visualization in Odin and Raylib. All cubes now have an opacity based on their activation/weight. I think the codebase is almost ready to be made public
0:39

Mnist Neural network visualization in Odin and Raylib. All cubes now have an opacity based on their activation/weight. I think the codebase is almost ready to be made public

Bones

48,202 görüntüleme • 1 yıl önce

I vibecoded this neural network visualization for my students and open sourced it. It shows a simple MLP trained on MNIST handwritten digits at several training steps. The visualization is using Three.js and it comes with training code in PyTorch . Link + repo 👇
1:00

I vibecoded this neural network visualization for my students and open sourced it. It shows a simple MLP trained on MNIST handwritten digits at several training steps. The visualization is using Three.js and it comes with training code in PyTorch . Link + repo 👇

David Finsterwalder | eu/acc

486,842 görüntüleme • 6 ay önce

Fukushima's video (1986) shows a CNN that recognises handwritten digits [3], three years before LeCun's video (1989). CNN timeline taken from [5]: ★ 1969: Kunihiko Fukushima published rectified linear units or ReLUs [1] which are now extensively used in CNNs. ★ 1979: Fukushima published the basic CNN architecture with convolution layers and downsampling layers [2]. He called it neocognitron. It was trained by unsupervised learning rules. Compute was 100 times more expensive than in 1989, and a billion times more expensive than today. ★ 1986: Fukushima's video on recognising hand-written digits [3]. ★ 1988: Wei Zhang et al had the first "modern" 2-dimensional CNN trained by backpropagation, and also applied it to character recognition [4]. Compute was about 10 million times more expensive than today. ★ 1989-: later work by others [5]. REFERENCES (more in [5]) [1] K. Fukushima (1969). Visual feature extraction by a multilayered network of analog threshold elements. IEEE Transactions on Systems Science and Cybernetics. 5 (4): 322-333. This work introduced rectified linear units or ReLUs, now widely used in CNNs and other neural nets. [2] K. Fukushima (1979). Neural network model for a mechanism of pattern recognition unaffected by shift in position—Neocognitron. Trans. IECE, vol. J62-A, no. 10, pp. 658-665, 1979. The first deep convolutional neural network architecture, with alternating convolutional layers and downsampling layers. In Japanese. English version: 1980. [3] Movie produced by K. Fukushima, S. Miyake and T. Ito (NHK Science and Technical Research Laboratories), in 1986. YouTube: [4] W. Zhang, J. Tanida, K. Itoh, Y. Ichioka. Shift-invariant pattern recognition neural network and its optical architecture. Proc. Annual Conference of the Japan Society of Applied Physics, 1988. First "modern" backpropagation-trained 2-dimensional CNN, applied to character recognition. [5] J. Schmidhuber (AI Blog, 2025). Who invented convolutional neural networks?
4:22

Fukushima's video (1986) shows a CNN that recognises handwritten digits [3], three years before LeCun's video (1989). CNN timeline taken from [5]: ★ 1969: Kunihiko Fukushima published rectified linear units or ReLUs [1] which are now extensively used in CNNs. ★ 1979: Fukushima published the basic CNN architecture with convolution layers and downsampling layers [2]. He called it neocognitron. It was trained by unsupervised learning rules. Compute was 100 times more expensive than in 1989, and a billion times more expensive than today. ★ 1986: Fukushima's video on recognising hand-written digits [3]. ★ 1988: Wei Zhang et al had the first "modern" 2-dimensional CNN trained by backpropagation, and also applied it to character recognition [4]. Compute was about 10 million times more expensive than today. ★ 1989-: later work by others [5]. REFERENCES (more in [5]) [1] K. Fukushima (1969). Visual feature extraction by a multilayered network of analog threshold elements. IEEE Transactions on Systems Science and Cybernetics. 5 (4): 322-333. This work introduced rectified linear units or ReLUs, now widely used in CNNs and other neural nets. [2] K. Fukushima (1979). Neural network model for a mechanism of pattern recognition unaffected by shift in position—Neocognitron. Trans. IECE, vol. J62-A, no. 10, pp. 658-665, 1979. The first deep convolutional neural network architecture, with alternating convolutional layers and downsampling layers. In Japanese. English version: 1980. [3] Movie produced by K. Fukushima, S. Miyake and T. Ito (NHK Science and Technical Research Laboratories), in 1986. YouTube: [4] W. Zhang, J. Tanida, K. Itoh, Y. Ichioka. Shift-invariant pattern recognition neural network and its optical architecture. Proc. Annual Conference of the Japan Society of Applied Physics, 1988. First "modern" backpropagation-trained 2-dimensional CNN, applied to character recognition. [5] J. Schmidhuber (AI Blog, 2025). Who invented convolutional neural networks?

Jürgen Schmidhuber

703,493 görüntüleme • 6 ay önce