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Ternary Neural Networks with Fine-Grained Quantization., , , , , and . CoRR, (2017)A Study of BFLOAT16 for Deep Learning Training., , , , , , , , , and 9 other author(s). CoRR, (2019)On Scale-out Deep Learning Training for Cloud and HPC., , , , , , , , , and 1 other author(s). CoRR, (2018)Ternary Residual Networks., , , , , , and . CoRR, (2017)High Performance Scalable FPGA Accelerator for Deep Neural Networks., , , , , , , , , and . CoRR, (2019)Mixed Precision Training With 8-bit Floating Point., , , and . CoRR, (2019)Mixed Low-precision Deep Learning Inference using Dynamic Fixed Point., , , , and . CoRR, (2017)Mixed Precision Training of Convolutional Neural Networks using Integer Operations., , , , , , , , , and 7 other author(s). ICLR (Poster), OpenReview.net, (2018)K-TanH: Hardware Efficient Activations For Deep Learning., , , , , , , , and . CoRR, (2019)