HGQ: High Granularity Quantization for Real-time Neural Networks and LUT-Based Inference

Name: HGQ: High Granularity Quantization for Real-time Neural Networks and LUT-Based Inference
Duration: 20 min 20 s
Channel: Chang Sun

Chang Sun · CERN

Credits and licence

From: HGQ: High Granularity Quantization for Real-time Neural Networks and LUT-Based Inference, CERN (at CERN)
Licence: CERN, as CERN states it.
Attribution: © CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
Who can watch: Teens profiles and older. How courses are placed