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James Imber, Senior Research Engineer at Imagination Technologies, presents the “High-fidelity Conversion of Floating-point Networks for Low-precision Inference using Distillation with Limited Data” tutorial at the May 2021 Embedded Vision Summit. When converting floating-point networks to low-precision equivalents for high-performance inference, the primary objective is to maximally compress the network…

“High-fidelity Conversion of Floating-point Networks for Low-precision Inference using Distillation with Limited Data,” a Presentation from Imagination Technologies

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