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Dual-domain architecture shows almost 40 times higher energy efficiency for running neural networks
Some of the most promising solutions for running artificial neural networks (ANNs ... in handling complex regression tasks (e.g., YOLO for object detection), due to two key limitations.
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Pyramid Vector Quantization and Bit Level Sparsity in Weights for Efficient Neural Networks Inference
The result is then extended to any other quantized weights. The Tiny Yolo v3 [2] CNN is used to compare such basic blocks. Neural networks (NNs) and, particularly, convolutional neural networks (CNNs) ...