Trusting SVM for piecewise linear CNNs
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...
| Auteurs principaux: | , , |
|---|---|
| Format: | Conference item |
| Langue: | English |
| Publié: |
Curran Associates
2017
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