… Abstract:Convolutional neuralnetwork algorithms with … a convolutional neuralnetwork computing acceleration method … Deep compression:compressing deep neuralnetworks with …
… is compressed through convolutional neuralnetwork, effectively reducing the redundancy of … , the image data compression model based on convolutional neuralnetwork does not rely …
… Abstract: BNNs( Binarized NeuralNetworks) are popular due to their extremely low memory requirements. While BNNs can be further compressed through pruning techniques, existing …
… only less than 2% lower than that of the fullTprecision network. Finally, the quantized convolutional neuralnetwork model is accelerated by the Nor Flash array. Hspice simulation results …
… A comprehensive survey on model compression and acceleration[J]. Artificial Intelligence … for convolutional neuralnetworkcompression[J]. Journal of Visual Communication and Image …
… neuralnetworkcompression methods with a single and fixed pattern are difficult to compress … As a result, the compressed model still needs to consume costly and limited storage …
… and research progress of neuralnetwork pruning technologies, … pruning method for deep neuralnetworkcompression [C]//… AMC: AutoML for model compression and acceleration on …
李扬, 许魁, 张冬梅, 徐健卉, 谢威… - Journal of Signal …, 2022 - search.ebscohost.com
… 本文中提出的针对MM-OFDM-IM 信号的双卷 积神经网络(Dual Convolutional NeuralNetwork)检 测… Dropout:a simple way to prevent neuralnetworks from overfitting[J]. Journal of Machine …