Quantization

From quantitative analysis to synthesis of efficient binary neural networks

We derive an approach on how to systematically design cost-efficient BNNs, with novel methods like hybrid ternarization and a hardware-based cost estimation leading to BNNs more efficient that existing ones without compromising accuracy.