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1篇 您的检索式：作者名="Hrushikesh Mhaskar"

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		题名	作者	年代	出处	被引量
	1	Why and When Can Deep-but Not Shallow-networks Avoid the Curse of Dimensionality: A Review显示文摘The paper reviews and extends an emerging body of theoretical results on deep learning including the conditions under which it can be exponentially better than shallow learning. A class of deep convolutional networks represent an important special case of these conditions, though weight sharing is not the main reason for their exponential advantage. Implications of a few key theorems are discussed, together with new results, open problems and conjectures.	Tomaso Poggio Hrushikesh Mhaskar Lorenzo Rosasco Brando Miranda Qianli Liao	2017	International Journal of Automation and computing2017，14，5：	6

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