This paper describes a CNN where all CNN style 2D convolution operations that lower to matrix matrix multiplication are fully binary. The network is derived from a common building block structure that is consistent with a constructive proof outline showing that binary neural networks are universal function approximators. 71.24% top 1 accuracy on the 2012 ImageNet validation set was achieved with a 2 step training procedure and implementation strategies optimized for binary operands are provided.

翻译：本文描述CNNCNN的CNN风格 2D 中所有低于矩阵矩阵乘法的演进操作都是完全二进制的。 网络来自一个共同的构件结构,它符合一个建设性的证明大纲,该大纲显示二进制神经网络是通用功能近似器。 2012 年图像网络验证集的前一精度为71.24%,其中提供了两步培训程序,并为二进制剧目优化了实施战略。