Improving INT8 Accuracy Using Quantization Aware Training and the NVIDIA TAO Toolkit – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-03-24T18:36:43Z http://www.open-lab.net/blog/feed/ Varun Praveen <![CDATA[Improving INT8 Accuracy Using Quantization Aware Training and the NVIDIA TAO Toolkit]]> http://www.open-lab.net/blog/?p=19113 2022-08-21T23:40:25Z 2020-08-04T13:00:00Z Deep neural network (DNN) models are routinely used in applications requiring analysis of video stream content. These may include object detection,...]]> Deep neural network (DNN) models are routinely used in applications requiring analysis of video stream content. These may include object detection,...

Deep neural network (DNN) models are routinely used in applications requiring analysis of video stream content. These may include object detection, classification, and segmentation. Typically, these models are trained on servers with high-end GPUs, either in stand-alone servers, such as NVIDIA DGX1, or on servers available in data centers or private or public clouds. Such systems often use��

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