Post Training Optimization Tool | OpenVINO™ toolkit | Ep. 68 | Intel Software

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OpenVINO POT Post Training Optimization Tool. How to quantize a deep-learning model to Integer. Why should you quantize to INT8? Quantizing models to lower precision can yield a huge performance boost and reduce weight size and memory bandwidth. This video presents the concepts and the configurations required. Video 69 present a full end-to-end demo.

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Post Training Optimization Tool | OpenVINO™ toolkit | Ep. 68 | Intel Software
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openvino
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integer
quantization
low precision