Shallow Learning For Deep Networks. Anonymous , 2018.
abstract   bibtex   
Shallow supervised 1-hidden layer neural networks have a number of favorable properties that make them easier to interpret, analyze, and optimize than their deep counterparts, but lack their.
@Article{Anonymous2018,
author = {Anonymous}, 
title = {Shallow Learning For Deep Networks}, 
journal = {}, 
volume = {}, 
number = {}, 
pages = {}, 
year = {2018}, 
abstract = {Shallow supervised 1-hidden layer neural networks have a number of favorable properties that make them easier to interpret, analyze, and optimize than their deep counterparts, but lack their.}, 
location = {}, 
keywords = {}}

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