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This paper describes a CNN where all CNN style 2D convolution operations thatlower to matrix matrix multiplication are fully binary. The network is derivedfrom a common building block structure that is consistent with a constructiveproof outline showing that binary neural networks are universal functionapproximators. 71.24% top 1 accuracy on the 2012 ImageNet validation set wasachieved with a 2 step training procedure and implementation strategiesoptimized for binary operands are provided.

BCNN: A Binary CNN with All Matrix Ops Quantized to 1 Bit Precision