Evolutionary fine tuning of quantized convolution-based deep learning models

arXiv:2605.05228v1 Announce Type: cross Abstract: Deep learning models are the most efficient models in many machine learning tasks. The main disadvantage when using them in IoT, mobile devices, independent autonomous or real-time systems is their complexity and memory size. Therefore, much...