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Deepest Neural Networks
Published 9 Jul 2017 in cs.NE and cs.LG | (1707.02617v1)
Abstract: This paper shows that a long chain of perceptrons (that is, a multilayer perceptron, or MLP, with many hidden layers of width one) can be a universal classifier. The classification procedure is not necessarily computationally efficient, but the technique throws some light on the kind of computations possible with narrow and deep MLPs.
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