Dynamic Early Terminating of Multiply Accumulate Operations for Saving Computation Cost in Convolutional Neural Networks

ICLR 2019 Yu-Yi SuYung-Chih ChenXiang-Xiu WuShih-Chieh Chang

Deep learning has been attracting enormous attention from academia as well as industry due to its great success in many artificial intelligence applications. As more applications are developed, the need for implementing a complex neural network model on an energy-limited edge device becomes more critical... (read more)

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