… neural network, named dual neural networks (DualNet). DualNet consists of two subnetworks,
a prediction network and a target network. … the compression time with similar compression …

… convolutional neural network under … neural network performance is researched thoroughly.
Firstly, explain the relation between data set capacity and the convolutional neural network …

… 结构上,该模型主要包括卷积神经网络(Convolutional Neural Networks,CNN), 优化组合的长
短期记忆网络(Long Short-Term Memory Network,LSTM)和全连接层.这里,CNN用于提取海洋环境 …

… The residual neural network is reviewed in this paper from the … to accelerate training of
deep neural networks[C]. The 30th … residual network for JPEG image compression artifacts …

… neural network model and graph based neural network model. The algorithms based on
convolution neural network … Compression of deep convolutional neural networks for fast and low …

… We trained a large, deep convolutional neural network to … are observing is different from the
accelerated ability to fit the … an auto-encoder to compress these vectors to short binary codes. …

… ,parallel imaging and compressed sensing combined with … and compressed sensing of MRI
and 2)acceleration of multi- … 到端卷积神经 网络(convolutional neural network,CNN)映射将欠 …

… Application of PSdropout convolutional neural network in inspection car for hazardous …
Compression of complex networks based on multiscale geometric analysis[J]. Journal of …

… Abstract: Lightweight neural networks deployed on low-… challenging to build Deep Neural
Networks (DNN) accelerator … the design of DNN acceleration chips like iSmart3SkyNet and …