Numerous approaches have been proposed for compression and inference speedup of neural networks, including but not limited to low-rank approximation (Denton et al., 2014), hash function , knowledge distillation (Hinton et al., 2015), quantization (Courbariaux et al., 2015;Han et al., 2016;Zhou et al., 2017) and sparsification (Han et al., 2015;Wen et al., 2016).
interpolated Sample: replace the official said the grenade explosion did not cause any casualties or damage .