DeepTronic: An electronic device classification model using deep convolutional neural networks
This paper presents a novel and straightforward way of classifying discrete and surface-mount electronic components found on electronic prototypes using transfer learning and deep convolutional neural networks (DCNN). The goal of this study is to precisely classify images of electronic components in...
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Main Authors: | , , , , , |
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Format: | text |
Published: |
Animo Repository
2019
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Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/3025 |
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Institution: | De La Salle University |
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