Weight clustering is now part of the #TensorFlow Model Optimization Toolkit! Weight clustering is a technique to #reduce the storage and transfer size of your model by replacing many unique parameter values with a smaller number of unique values. This benefit applies to all deployments. Additionally, it can even improve #memory #footprint and #inference speed. Arm and the #TensorFlow team have been collaborating in this space to improve deployment to mobile and IoT devices. We thank Arm for proposing and contributing to the TensorFlow Model Optimization Toolkit! Find out more about #TFMOT Weight Clustering API: https://lnkd.in/gWKRm-A #TFUG #TFMOT #optimization #MachineLearning #Deployment
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Can anyone help for one of our proposed project: I want to read the photo or video and check the quality of product .Product usually in bunch of 50 to 100 pieces.
Very useful
Creating -as always....
2yIs it analogous to PCA?