VoltaVision: A Transfer Learning model for electronic component classification

arXiv:2404.03898v1 Announce Type: cross
Abstract: In this paper, we analyze the effectiveness of transfer learning on classifying electronic components. Transfer learning reuses pre-trained models to save time and resources in building a robust classifier rather than learning from scratch. Our work introduces a lightweight CNN, coined as VoltaVision, and compares its performance against more complex models. We test the hypothesis that transferring knowledge from a similar task to our target domain yields better results than state-of-the-art models trained on general …

arxiv classification cs.cv cs.lg electronic transfer transfer learning type