Difference between revisions of "(Deep) Convolutional Neural Network (DCNN/CNN)"
m |
|||
| Line 2: | Line 2: | ||
* [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] | ||
| − | * [https://www.youtube.com/watch?v=vT1JzLTH4G4&list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv Convolutional Neural Networks for Visual Recognition | | + | * [https://www.youtube.com/watch?v=vT1JzLTH4G4&list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv Convolutional Neural Networks for Visual Recognition | Stanford] |
| − | Stanford] | ||
* [https://deeplearning4j.org/convolutionalnetwork.html Guide] | * [https://deeplearning4j.org/convolutionalnetwork.html Guide] | ||
Revision as of 22:12, 10 May 2018
- CNN1. What is Computer Vision? | deeplearning.ai
- Convolutional Neural Networks for Visual Recognition | Stanford
- Guide
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
