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CNN (Convolutional Neural Network) Visualization

Interesting As Fuck

2,056,351 subscribers

390,097 次观看 • 1 年前 •via X (Twitter)

教育科学技术艺术

Anya Rossi• Live Now

Private livecam show

11 条评论

Motion 的头像

Motion1 年前

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

Dr Shad Katuu 🌐 的头像

Dr Shad Katuu 🌐3 年前

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

Jason Balazs 的头像

Jason Balazs1 年前

That's beautiful

Harry Berries 的头像

Harry Berries1 年前

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

KOVNAH 的头像

KOVNAH1 年前

ok I thought it was the fake news network one

gökhan 的头像

gökhan1 年前

What’s your favorite CNN use case?

MsInterpreted 的头像

MsInterpreted1 年前

This is so interesting

AJ 的头像

AJ1 年前

The visualizations are right there

𝐊𝐞𝐞𝐫𝐭𝐡𝐢 𝐑𝐚𝐣 的头像

𝐊𝐞𝐞𝐫𝐭𝐡𝐢 𝐑𝐚𝐣1 年前

😲

Zero Supremo 的头像

Zero Supremo1 年前

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

✨Ray say Rano✨ 的头像

✨Ray say Rano✨1 年前

Amazing technology 👏👏

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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?

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?

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