most citedReconfigurable co-processor architecture with limited numerical precision to accelerate deep convolutional neural networks

5 citations · 5 across the 1 of their papers we have counts for

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1 paper

cs.LG2021★ 5 cited

Reconfigurable co-processor architecture with limited numerical precision to accelerate deep convolutional neural networks

Sasindu Wijeratne, Sandaruwan Jayaweera, Mahesh Dananjaya +1

Convolutional Neural Networks (CNNs) are widely used in deep learning applications, e.g. visual systems, robotics etc. However, existing software solutions are not efficient. There…