Parcourir par sujet "Feed forward neural net works"
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Feed Forward Neural Network Sparsification with Dynamic Pruning
(2021)A recent hot research topic in deep learning concerns the reduction of the model size of a neural network by pruning, in order to minimize its training and inference cost and thus, being capable of running on devices with ... -
Model reduction of feed forward neural networks for resource-constrained devices
(2022)Multilayer neural architectures with a complete bipartite topology have very high training time and memory requirements. Solid evidence suggests that not every connection contributes to the performance; thus, network ...