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...
| Автори: | , , |
|---|---|
| Формат: | Conference item |
| Мова: | English |
| Опубліковано: |
Curran Associates
2017
|