… neural network, DnCNN)[110],快 速灵活的去噪卷积神经网络(Fast and flexible denoising …
neural network, FFDNet)[111] 和卷积盲去噪网络(Convolutional blind denoising network, CBDNet…

… and accelerating deep neural network models have become a critical issue … compression
and acceleration of machine learning models. By reducing the bit width of deep neural network …

… & Telecommunications, Xi’an 710121) Abstract: Quantization is the main method to compress
convolutional neural networks and accelerate convolutional neural network inference. …

… hardware resources for accelerating deep neural network. A parallel … neural network
acceleration are the challenging tasks. This paper starts with an introduction of neural network …

… compress the deep neural network without losing the performance of the model as much as
possible. This article introduces the neural network model compression … deep neural network …

… Therefore,in this paper,a compact neural network was … compress the trained compact
network,and finally a lightweight … filter pruning for accelerating deep convolutional neural networks[…

… signal recognition method based on compressed residual network. Using Choi-… compression”
range of convolutional neural networks (CNN), and builds a compression residual network …

… based on convolutional neural network exhibits excellent … accuracy under the same
compression ratio, but finding a … each layer of the neural network, the quantization accuracy …

… Neural Network (CNN) hardware acceleration. For better performance, a three-dimensional
transformable CNN acceleration … redundant parallelism schemes, compressing more than 99…

… and communication … acceleration mechanism based on network compression and partitioning
technology is proposed. This technology can compress and partition deep neural networks …