Adjustable Bounded Rectifiers: Towards Deep Binary Representations

19 Nov 2015 Zhirong Wu Dahua Lin Xiaoou Tang

Binary representation is desirable for its memory efficiency, computation speed and robustness. In this paper, we propose adjustable bounded rectifiers to learn binary representations for deep neural networks... (read more)

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