Alexander Kozlov, Deep Learning R&D Engineer at Intel, presents the “Recent Advances in Post-training Quantization” tutorial at the September 2020 Embedded Vision Summit. The use of low-precision arithmetic (8-bit and smaller data types) is key for the deployment of deep neural network inference with high performance, low cost and low…

“Recent Advances in Post-training Quantization,” a Presentation from Intel

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