Difference between revisions of "(Deep) Convolutional Neural Network (DCNN/CNN)"
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[http://www.youtube.com/results?search_query=Convolutional+Neural+Network YouTube search...] | [http://www.youtube.com/results?search_query=Convolutional+Neural+Network YouTube search...] | ||
| + | * [http://www.asimovinstitute.org/author/fjodorvanveen/ Neural Network Zoo | Fjodor Van Veen] | ||
* [https://deeplearning4j.org/convolutionalnetwork.html Guide] | * [https://deeplearning4j.org/convolutionalnetwork.html Guide] | ||
* [https://www.youtube.com/watch?v=Z91YCMvxdo0&list=PLBAGcD3siRDjBU8sKRk0zX9pMz9qeVxud CNN1. What is Computer Vision? | deeplearning.ai] | * [https://www.youtube.com/watch?v=Z91YCMvxdo0&list=PLBAGcD3siRDjBU8sKRk0zX9pMz9qeVxud CNN1. What is Computer Vision? | deeplearning.ai] | ||
Revision as of 17:29, 11 May 2018
- Neural Network Zoo | Fjodor Van Veen
- Guide
- CNN1. What is Computer Vision? | deeplearning.ai
- Convolutional Neural Networks for Visual Recognition | Stanford
Classify images (e.g. name what they see), cluster them by similarity (photo search), and perform object recognition within scenes. They are algorithms that can identify faces, individuals, street signs, tumors, platypuses and many other aspects of visual data. Convolutional networks perform optical character recognition (OCR) to digitize text and make natural-language processing possible on analog and hand-written documents, where the images are symbols to be transcribed. CNNs can also be applied to sound when it is represented visually as a spectrogram. More recently, convolutional networks have been applied directly to text analytics as well as graph data with graph convolutional networks.
CNN Architectures
