A Deep Transfer Learning Design Rule Checker With Synthetic Training
IEEE DESIGN & TEST, 40(1), 77–84.
co-author countries:
United States of America 🇺🇸
author keywords: 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
Source: Web Of Science
Added: March 13, 2023
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
