“High-fidelity Conversion of Floating-point Networks for Low-precision Inference Using Distillation with Limited Data,” a Presentation from Imagination Technologies
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 whilst maintaining fidelity to the […]