Evaluation of the Transfer Learning Models in Wafer Defects Classification

In a semiconductor industry, wafer defect detection has becoming ubiquitous. Various machine learning algorithms had been adopted to be the “brain” behind the machine for reliable, fast defect detection. Transfer Learning is one of the common methods. Various algorithms under Transfer Learning had b...

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Main Authors: Jessnor Arif, Mat Jizat, Anwar, P. P. Abdul Majeed, Ahmad Fakhri, Ab. Nasir, Zahari, Taha, Yuen, Edmund, Lim, Shi Xuen
格式: Conference or Workshop Item
語言:English
出版: Springer Nature 2022
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在線閱讀:http://umpir.ump.edu.my/id/eprint/36763/1/Evaluation%20of%20the%20Transfer%20Learning%20Models%20in%20Wafer%20Defects%20Classification%20%281%29.pdf
http://umpir.ump.edu.my/id/eprint/36763/
https://doi.org/10.1007/978-981-33-4597-3_78
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機構: Universiti Malaysia Pahang Al-Sultan Abdullah
語言: English