13 lines
		
	
	
		
			651 B
		
	
	
	
		
			Markdown
		
	
	
	
	
	
		
		
			
		
	
	
			13 lines
		
	
	
		
			651 B
		
	
	
	
		
			Markdown
		
	
	
	
	
	
|   | --- | ||
|  | title: VGGnet | ||
|  | --- | ||
|  | VGGnet are CNN models created by research group Visual Graphic Group as a winning entry to the ImageNet Large Scale Visual Recognition Competition (ILSVRC) in 2014 in the Localization category and the runner up in Image Classification category in the same competion. | ||
|  | 
 | ||
|  | VGG group have released the following models: | ||
|  | * 16 Layer model - [Information](https://gist.github.com/ksimonyan/211839e770f7b538e2d8#file-readme-md) | ||
|  | * 19 Layer model - [Information](https://gist.github.com/ksimonyan/3785162f95cd2d5fee77#file-readme-md) | ||
|  | 
 | ||
|  | ### More Information
 | ||
|  | * Visual Geometry Group website http://www.robots.ox.ac.uk/~vgg/research/very_deep/ | ||
|  | 
 |