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精密门控通过动态双精度激活提高神经网络效率
We propose precision gating (PG), an end-to-end trainable dynamic dual-precision quantization technique for deep neural networks. PG computes most fea
FracBNN具有小数激活的准确且FPGA高效的二进制神经网络
Binary neural networks (BNNs) have 1-bit weights and activations. Such networks are well suited for FPGAs, as their dominant computations are bitwise