Deep Learning Inspection of Modules in Finisar
Over the past few years, deep learning in machine learning have been proved to outperform various other machine learning techniques. Deep learning is used in various field, most prominently in medical field nowadays. This paper will discuss the use of Convolutional Neural Networks (CNNs) on th...
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| Language: | English |
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IRC
2020
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| Online Access: | http://utpedia.utp.edu.my/21815/1/23322_Elvis%20Wong%20Kar%20Hou.pdf http://utpedia.utp.edu.my/21815/ |
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my-utp-utpedia.218152021-09-24T09:56:04Z http://utpedia.utp.edu.my/21815/ Deep Learning Inspection of Modules in Finisar Wong, Elvis Kar Hou Q Science (General) Over the past few years, deep learning in machine learning have been proved to outperform various other machine learning techniques. Deep learning is used in various field, most prominently in medical field nowadays. This paper will discuss the use of Convolutional Neural Networks (CNNs) on the image processing and how it can perform deep learning on object detection, which includes the shape (type) and the recognition of color. This paper will also discuss the result of the developed program and how it integrates with Tensorflow framework. Lastly, this paper will provide recommendations for the best performance and output of the deep learning and how it can generate the best output. IRC 2020-01 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/21815/1/23322_Elvis%20Wong%20Kar%20Hou.pdf Wong, Elvis Kar Hou (2020) Deep Learning Inspection of Modules in Finisar. IRC, Universiti Teknologi PETRONAS. (Submitted) |
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Q Science (General) |
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Q Science (General) Wong, Elvis Kar Hou Deep Learning Inspection of Modules in Finisar |
| description |
Over the past few years, deep learning in machine learning have been proved
to outperform various other machine learning techniques. Deep learning is used in
various field, most prominently in medical field nowadays. This paper will discuss
the use of Convolutional Neural Networks (CNNs) on the image processing and how
it can perform deep learning on object detection, which includes the shape (type) and
the recognition of color. This paper will also discuss the result of the developed
program and how it integrates with Tensorflow framework. Lastly, this paper will
provide recommendations for the best performance and output of the deep learning
and how it can generate the best output. |
| format |
Final Year Project |
| author |
Wong, Elvis Kar Hou |
| author_facet |
Wong, Elvis Kar Hou |
| author_sort |
Wong, Elvis Kar Hou |
| title |
Deep Learning Inspection of Modules in Finisar |
| title_short |
Deep Learning Inspection of Modules in Finisar |
| title_full |
Deep Learning Inspection of Modules in Finisar |
| title_fullStr |
Deep Learning Inspection of Modules in Finisar |
| title_full_unstemmed |
Deep Learning Inspection of Modules in Finisar |
| title_sort |
deep learning inspection of modules in finisar |
| publisher |
IRC |
| publishDate |
2020 |
| url |
http://utpedia.utp.edu.my/21815/1/23322_Elvis%20Wong%20Kar%20Hou.pdf http://utpedia.utp.edu.my/21815/ |
| _version_ |
1739832916445233152 |
| score |
13.18916 |