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by hardmaru on 2018-06-30 (UTC).

ResNet with one-neuron hidden layers is a Universal Approximator: The main contribution of this paper is to show that ResNet with one single neuron per hidden layer is enough to provide universal approximation as the depth goes to infinity. https://t.co/dujgHIVrbg pic.twitter.com/G9zOojqhtB

— hardmaru (@hardmaru) June 30, 2018
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by hardmaru on 2018-06-30 (UTC).

A toy example to illustrate the decision boundaries learned using a narrow vanilla fully connected network vs a narrow ResNet. pic.twitter.com/v8hmEYhIpJ

— hardmaru (@hardmaru) June 30, 2018
research

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