TL-TensorFlow CNN model and dataset for electronic equipment

Calin Bîră; Valentin-Gabriel Voiculescu

doi:10.1117/12.2572157

31 December 2020 TL-TensorFlow CNN model and dataset for electronic equipment

Calin Bîră, Valentin-Gabriel Voiculescu

Proceedings Volume 11718, Advanced Topics in Optoelectronics, Microelectronics and Nanotechnologies X; 117182Y (2020) https://doi.org/10.1117/12.2572157
Event: Advanced Topics in Optoelectronics, Microelectronics and Nanotechnologies 2020, 2020, Online Only

Abstract

This paper proposes a solution for classification of electronics laboratory equipment with emphasis on the electronic laboratory tools / equipment. It uses transfer-learning applied to the pretrained Inception-V3 network model. A study regarding the impact of small retrain dataset is conducted to see its impact in transfer-learning over Inceptio V3 network.

Citation Download Citation

Calin Bîră and Valentin-Gabriel Voiculescu "TL-TensorFlow CNN model and dataset for electronic equipment", Proc. SPIE 11718, Advanced Topics in Optoelectronics, Microelectronics and Nanotechnologies X, 117182Y (31 December 2020); https://doi.org/10.1117/12.2572157

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KEYWORDS

Data modeling

Oscilloscopes

Digital imaging

Electronic circuits

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