首页>
外国专利>
LEARNING A TRUNCATION RANK OF SINGULAR VALUE DECOMPOSED MATRICES REPRESENTING WEIGHT TENSORS IN NEURAL NETWORKS
LEARNING A TRUNCATION RANK OF SINGULAR VALUE DECOMPOSED MATRICES REPRESENTING WEIGHT TENSORS IN NEURAL NETWORKS
展开▼
机译:学习表示神经网络中权重张量的奇异值分解矩阵的交易范围
展开▼
页面导航
摘要
著录项
相似文献
摘要
An apparatus for learning a rank of an artificial neural network is configured to decompose a weight tensor into a first weight tensor and a second weight tensor. A set of rank selection parameters are applied to the first weight tensor and the second weight tensor to truncate the rank of the first weight tensor and the second weight tensor. The set of rank selection parameters are updated simultaneously with the weight tensors by averaging updates calculated for each rank selection parameter of the set of rank selection parameters.
展开▼