all AI news
DiverGet: A Search-Based Software Testing Approach for Deep Neural Network Quantization Assessment. (arXiv:2207.06282v1 [cs.LG])
cs.LG updates on arXiv.org arxiv.org
Quantization is one of the most applied Deep Neural Network (DNN) compression
strategies, when deploying a trained DNN model on an embedded system or a cell
phone. This is owing to its simplicity and adaptability to a wide range of
applications and circumstances, as opposed to specific Artificial Intelligence
(AI) accelerators and compilers that are often designed only for certain
specific hardware (e.g., Google Coral Edge TPU). With the growing demand for
quantization, ensuring the reliability of this strategy is …
arxiv deep neural network lg network neural network quantization search software software testing testing