Weight Update Skipping: Reducing Training Time for Artificial Neural Networks
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DOI: 10.1109/jetcas.2021.3127907
Abstract: Artificial Neural Networks (ANNs) are known as state-of-the-art techniques in Machine Learning (ML) and have achieved outstanding results in data-intensive applications, such as recognition, classification, and segmentation. These networks mostly use deep layers of convolution… read more here.
Keywords: time; training time; update skipping; weight update ... See more keywords