12 lines
		
	
	
		
			731 B
		
	
	
	
		
			Markdown
		
	
	
	
	
	
		
		
			
		
	
	
			12 lines
		
	
	
		
			731 B
		
	
	
	
		
			Markdown
		
	
	
	
	
	
|   | --- | |||
|  | title: Convolutional Neural Networks | |||
|  | localeTitle: 卷积神经网络 | |||
|  | --- | |||
|  | 卷积神经网络(ConvNets或CNN)是一类神经网络,已经证明在图像识别和分类等领域非常有效。除了为机器人和自动驾驶汽车提供视力外,ConvNets还成功识别了面部,物体和交通标志。 | |||
|  | 
 | |||
|  | ### 建议的链接:
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|  | 
 | |||
|  | *   斯坦福CS231n [讲座5卷积神经网络](https://www.youtube.com/watch?v=bNb2fEVKeEo) | |||
|  | *   斯坦福CS231n [第9讲CNN架构](https://www.youtube.com/watch?v=DAOcjicFr1Y&t=2384s) | |||
|  | *   Udacity深度学习: [卷积网络](https://www.youtube.com/watch?v=jajksuQW4mc) | |||
|  | *   Andrew Ng的DeepLearning.ai: [卷积神经网络](https://www.coursera.org/learn/convolutional-neural-networks/) |