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• W3089751103 abstract "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." @default.
• W3089751103 created "2020-10-08" @default.
• W3089751103 creator A5057466267 @default.
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• W3089751103 date "2020-10-01" @default.
• W3089751103 modified "2023-09-27" @default.
• W3089751103 title "BCNN: A Binary CNN with All Matrix Ops Quantized to 1 Bit Precision" @default.
• W3089751103 cites W1530262073 @default.
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• W3089751103 hasPublicationYear "2020" @default.
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