A Deep Transfer Learning Design Rule Checker With Synthetic Training

Luis Francisco,W. Rhett Davis,Paul Franzon

IEEE Design & Test（2023）

引用 2|浏览2

暂无评分

摘要

Deep transfer learning is applied to the task of design rule checking (DRC). A parameterized synthetic data set generator is used to train the model. -Ulf Schlichtmann, Technical University of Munich

查看译文

关键词

Layout,Design methodology,Convolutional neural networks,Transfer learning,Generators,Deep learning,Manuals,Training data,Design Rule Checking,Machine Learning,IC Verification,Physical Verification,Convolutional Neural Network,Deep Learning,Synthetic Data Training,Transfer Learning

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要