Trusting SVM for piecewise linear CNNs

Trusting SVM for piecewise linear CNNs

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We present a novel layerwise optimization algorithm for the learning objective of Piecewise-Linear Convolutional Neural Networks (PL-CNNs), a large class of convolutional neural networks. Specifically, PL-CNNs employ piecewise linear non-linearities such as the commonly used ReLU and max-pool, and a...

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Dades bibliogràfiques
Autors principals:	Berrada, L, Zisserman, A, Kumar, MP
Format:	Conference item
Idioma:	English
Publicat:	Curran Associates 2017

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