… low power consumption that enable small convolutional neural networks to be deployed in
them. … Design and implementation of intelligent car based on FPGA cloud acceleration and its …

… The network is pruned to compress and accelerate the model to be deployed on the …
Mobilenets: efficient convolutional neural networks for mobile vision applications [EB/OL]. […

… compression the median of weight, reduces the number of bits in the transmission in the
communication … A learning frame-work for n-Bit quantized neural networks toward FPGAs. IEEE …

… Abstract:Aiming at the problem that existing convolutional neural network models are large
… UAVs, an ED-YOLO network based on model compression is proposed to achieve the target …

… Abstract: Recurrent neural network(RNN) has been used … tasks compared with other neural
network like CNN. However, … global memory of hardware acceleration platform GPU make …

… adversarial network to enhance the speech, and gives a speech enhancement method based
on the WGAN to accelerate … Enhancement and bandwidth compression of noisy speech[J]. …

… Deep compression: compressing deep neural networks with … ShuffleNet: an extremely
efficient convolutional neural network … Batch normalization: accelerating deepnetwork training by …

… the acceleration ratio of 1 to 64 edge nodes with GPU to train AlexNet network in a …
Deep gradient compression: reducing the communication bandwidth for distributed training. …

… :compressing deep neural networks via adaptive dimension adjustment tucker
decomposition[J].Neural Networks,… Model compression and hardware acceleration for neural …

… Firstly, we introduces the data organization of large-scale scenes from data compression …
directions, including neural network-based scene data compression, instantiated scene data …