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Stochastic Layer-Wise Precision in Deep Neural Networks
Low precision weights, activations, and gradients have been proposed as ...
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Caffeinated FPGAs: FPGA Framework For Convolutional Neural Networks
Convolutional Neural Networks (CNNs) have gained significant traction in...
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Deep Learning on FPGAs: Past, Present, and Future
The rapid growth of data size and accessibility in recent years has inst...
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